New tests/skills/test_authoring_standards.py parametrizes every bundled +
optional SKILL.md (1148 checks) against the mechanically-verifiable subset
of the hardline standards:
- required frontmatter fields (name/description/version/author/license/
platforms) + tags
- frontmatter name == directory name
- description <= 60 chars, ends with period, no marketing words
- related_skills resolve in-repo
- no machine-local paths
- <= 100k chars
Grandfather dict for legacy debt ships EMPTY — all pre-existing violations
fixed in this PR:
- 13 frontmatter names canonicalized to their directory names (the install
identifier); all related_skills references updated (comfyui -> stable-
diffusion). Fixes the class behind PR #42788's report; also fixes
here.now's invalid dot-name.
- optional-skills/devops/cli -> inference-sh-cli (dir was the generic
'cli'; fm name was right) incl. docs pages (en + zh-Hans), catalog row,
sidebar entry.
- pytorch-fsdp: 157k generated 'Quick Reference' dump moved to
references/common-patterns.md; SKILL.md 159k -> 2.5k with a pointer.
- research-paper-writing: 31.7k Phase 5 drafting section moved to
references/phase5-paper-drafting.md; SKILL.md 103k -> 71k.
Docs regenerated with scope discipline.
- description 210 -> 57 chars; author credits Ben Barclay (benbarclay) first
- optional-skills/creative/ (marketing vertical, narrowest audience of
the batch)
- dropped phantom 'image-generation-workflow' ref; visuals via the
image_generate tool
- honest handoff language: platforms without connectors end at approved
drafts marked handed-off, never claimed as published
- tests (10) incl. phantom-ref and honest-handoff guards
- docs regen scoped: per-skill page + one catalog row + one sidebar line
Skill polish:
- description 208 -> 57 chars; author credits Ben Barclay (benbarclay) first
- connector framing (google-workspace, obsidian, notion, email-inbox-triage)
- modern section order; boilerplate folded into step-local rules
Blueprint wiring (completes the batch's recipe integration):
- weekly-review blueprint loads weekly-review-planning; prompt follows the
skill's seven-section shape, drafts-only
- morning-brief blueprint loads google-workspace; prompt points at
references/daily-brief.md when connected
- important-mail blueprint loads email-inbox-triage
- blueprints index regenerated
Tests: 13 skill tests + two catalog invariants (every blueprint skills=
entry resolves to a real bundled skill; the four task blueprints are wired
to their procedure skills). 32 green across both files.
The bundled docx, xlsx, powerpoint, and pdf skills were adapted from
Anthropic's document skills and carried their proprietary LICENSE.txt
(no derivatives, no redistribution). Flagged as critical license
findings by the SkillEvaluator Tier 1 scan of our skill tree.
This replaces all four with clean-room rewrites:
- Authored from scratch against library knowledge only (python-docx,
openpyxl, python-pptx, pypdf/reportlab/pdfplumber — all MIT/BSD) by
isolated subagents given functional specs, with an explicit
prohibition on reading the prior skill content or anthropics/skills;
session transcripts retained as provenance evidence.
- MIT licensed (LICENSE file per skill), author: Nous Research.
- Each skill: SKILL.md to house standards + argparse helper scripts
with UTF-8-explicit I/O + its own e2e pytest suite (fixtures built
on the fly, non-ASCII round-trips run under LC_ALL=C).
- All four pass SkillEvaluator Tier 1 pii+unicode+lint 3/3.
tests/skills/test_office_document_skills.py rewritten against the new
contracts: MIT/no-Anthropic-text invariants, scripts documented in
SKILL.md, argparse CLI shape, and a no-locale-default-open() check
(which caught and fixed a real gap: pdfplumber text reads are fine,
but the invariant scan now guards every future script).
Docs pages regenerated for the four skills (scoped; unrelated
generator drift excluded).
Honest capability deltas vs the old versions are documented per
SKILL.md (e.g. tracked-changes accept/reject and OOXML XSD validation
are not reimplemented; form flattening limits stated).
The brief is single-connector (every command comes from google-workspace),
so it ships as references/daily-brief.md with a pointer + load trigger in
SKILL.md — progressive disclosure instead of a new skill-index entry.
Contributor's procedure preserved (half-open day windows, mail-to-meeting
linking with fuzzy-match discipline, 7-section brief, bounded actions);
credit noted in the reference header. Tests (8) guard the wiring and
disciplines. Version 1.1.0 -> 1.2.0.
Rewrote from a sibling-skill routing table into a skill that carries its
own procedure, and folded in generalized rules from maintainer practice:
- full-thread reads (gh issue view --comments; newest comment = live state)
- duplicate-PR sweep (issue number + keyword variants) before any code
- design-intent check via git log -p -S alongside premise reproduction
- fix the class: sweep sibling call sites into the same PR
- sabotage run: prove the regression test fails without the fix
- open the PR immediately (PR dispatches CI; CI latency is the long pole)
- close the loop: comment the issue with the PR link
Also: description 205 -> 59 chars, author credits Ben Barclay first,
modern section order, boilerplate trimmed, tests (10) incl. a
router-pattern guard, scoped docs regen.
- description 219 -> 58 chars
- author credits Ben Barclay (benbarclay) first
- modern section order; trimmed template safety boilerplate into
step-local rules and a skill-specific verification checklist
- tests at tests/skills/test_email_inbox_triage_skill.py (9 passing)
- docs regen scoped: per-skill page + one catalog row + one sidebar line
Fleet audit showed these task skills are commonly needed across users;
shipping bundled per Teknium's direction. Docs and tests follow the
bundled paths.
The in-repo skill-authoring skill taught the validator's ceilings (1024-char
descriptions, 'Use when ...' phrasing) instead of the repo's review standards,
so agents following it produced skills that fail review: 240+ char
descriptions, author 'Hermes Agent' with no human credit, no bundled-vs-
optional decision, dangling related_skills, no platforms audit, no tests, no
docs regen, and machine-local /home/bb/... paths baked into prose.
Rewritten to teach the hardline standards from AGENTS.md:
- description <= 60 chars, one sentence, ends with period
- author credits the human contributor first
- bundled vs optional tier decision (5+ sessions/month bar; default optional)
- no router/index/hub skills
- platforms: audited against actual scripts, POSIX-signal table
- related_skills must resolve in-repo
- Hermes-tool framing instead of raw shell prose
- tests at tests/skills/ + docs regen with scope discipline
- removed machine-local paths; validator limits marked as NOT the standard
Per the 'when in doubt, optional' rule — niche prediction-market data
skill that sees no regular use; belongs alongside stocks in the finance
optional category rather than the default bundle.
Install via: hermes skills install official/finance/polymarket
Live-run findings from a real fact-checking task (ankylosing spondylitis
genetics, 7 authoritative sources) against the new mode:
- Verbatim check rejected a legitimate quote because web_extract returns
markdown: the MedlinePlus sentence is "including _[ERAP1](https://...)_,
_[IL1A](...)_" on the wire but plain prose to a reader. The agent was
forced onto a weaker evidence fragment — the opposite of the point.
Matching now canonicalizes inline links to their label and drops
emphasis/code markers and backslash escapes on both sides, so quoting
the sentence a reader sees works. Paraphrases are still rejected.
- Escaped asterisks (HLA-B\*27) no longer have to be reproduced in the
quote, so extractor artifacts stop leaking into rendered evidence.
- New `render --replace-in <draft>`: rewrites a draft's Sources block in
place, idempotently. Previously the only path was hand-slicing the
file, which also tripped over the emitted heading being `## Sources`
while the prose said "Sources:".
- verify stats: report the provenance total that the percentage is
actually computed from (cited + [unverified], counted once), and print
the line as `info:` instead of `warn:` when nothing is wrong. The old
line printed 17 cited / 2 unverified next to 72%, which does not
reconcile — a sentence can be both.
- SKILL.md documents the emitted heading, --replace-in, and exactly what
counts as a prose sentence for --min-coverage.
7 new tests (47 total) using the real MedlinePlus/Frontiers markup;
6 sabotage runs, all red.
Extends the citation ledger with evidence-backed fact-checking:
- New `quote` subcommand attaches verbatim supporting quotes to a
source; the quote is rejected unless it appears verbatim
(whitespace/case-insensitive) in the fetched page text, so a
paraphrase or misremembered figure cannot masquerade as evidence.
- `verify --evidence` fails a draft whose cited sources carry no
attached quote.
- `render --style evidence` prints each source's quotes beneath its
URL, showing the claim -> source -> exact-text chain.
- `[unverified]` marker declares model-knowledge claims; counts toward
--min-coverage so provenance is declared for every sentence without
forcing fake citations.
- SKILL.md: new Fact-Checking Mode section + pitfalls; version 1.1.0.
- 10 new tests (40 total), all proven live by sabotage runs.
Covers the fact-checking/evidence-transparency half of #28289.
Answers and written deliverables that rest on retrieved information now get
inline numbered citations plus a mechanically-rendered Sources list, with a
persistent ledger that makes a hallucinated citation detectable.
- skills/research/grounded-citations/scripts/sources.py: stdlib citation
ledger (add/ingest/list/render/verify) at
$HERMES_HOME/cache/citations/ledger.json, profile-aware, O_EXCL-locked so
parallel subagents sharing a ledger can't collide on ids
- SKILL.md: cite-while-drafting procedure, register-at-retrieval rule,
pitfalls, verification gate
- references/citation-formats.md: per-target placement (markdown, LaTeX/PDF,
docx, pptx, xlsx, wiki, BibTeX handoff to research-paper-writing)
- references/grounding-rationale.md: why numbered ids (ALCE 2305.14627,
WebGPT 2112.09332, Perplexity marker conventions), and how this relates to
the in-process registry in PR #44833
- tests/skills/test_grounded_citations_skill.py: 30 tests
The design-md skill documented the Apr 2026 (0.1.x) CLI behavior, which
has since drifted:
- Lint rules: the skill listed 7 rules that no longer exist by those
names (duplicate-section, invalid-color, wcag-contrast,
unknown-component-property); the 0.3.0 linter runs 9 rules
(contrast-ratio, orphaned-tokens, missing-primary, missing-typography,
section-order, unknown-key, token-summary, missing-sections,
broken-ref). Verified against live lint output.
- Colors: any CSS color is now valid (oklch/rgb/named), not hex-only.
- Export: json-tailwind (v3) + css-tailwind (Tailwind v4 @theme CSS)
formats; 'tailwind' is a back-compat alias. New exit-code semantics
(export exits 0 regardless of source lint findings).
- Section order / duplicate headings are lint warnings, not file
rejection (verified: duplicate + out-of-order sections exit 0).
- Windows: documented the designmd dot-free bin alias (the design.md
bin name collides with the .md file association); skill declares
platforms: [windows].
- New pitfall: typography sub-property typos (fontwight) are silently
dropped with no finding as of 0.3.0.
All claims verified by running @google/design.md 0.3.0 live (lint,
export, duplicate-section, oklch token, starter template lints clean).
Docs page regenerated via generate-skill-docs.py.
Auto-gen page slugs, catalog rows/paths, sidebar entries, and zh-Hans
mirrors follow the directory renames. Also updates the install path
official/creative/audiocraft -> official/creative/audiocraft-audio-generation
in the songwriting-and-ai-music pointer section.
Audited every reference against ground truth (COMMAND_REGISTRY, argparse
--help output, TOOLSETS dict, provider profiles, DEFAULT_CONFIG) and
corrected drift the restructure had carried over verbatim:
- slash-commands.md: rebuilt from the live registry. Removes the phantom
/skill command (never existed — skills load via /skills, hermes -s, or a
skill's own /<name> command) and the wrong /q alias on /quit (/q belongs
to /queue) — both reported by @liuhao1024 in #50608 and @gauravsaxena1997
in #50613. Adds ~25 real commands that were missing (/learn, /memory,
/pet, /hatch, /bundles, /moa, /suggestions, /blueprint, /whoami, …) with
correct aliases and CLI/GW scoping.
- cli-reference.md: verified flags (-z/--oneshot, --tui/--cli, --safe-mode),
real subcommand sets for config/setup/sessions/skills/gateway/mcp/profile/
auth/webhook/cron/skin/pets, added missing top-level commands (fallback,
project, moa, logs, console, hooks, security, backup); condensed tables.
- providers-and-models.md: rebuilt from the 36 shipped provider profiles
with their actual env vars (was 21 rows, several stale); folds in the
alias system and fallback-chain command.
- configuration.md: toolset table matches TOOLSETS (adds coding,
computer_use, video_gen, context_engine, project; drops nonexistent
messaging/rl), config sections match DEFAULT_CONFIG, STT/TTS provider
lists match the shipped set.
- background-systems.md: curator verbs match the argparse surface.
- troubleshooting/security-privacy/windows-quirks/contributor-guide: fixed
dangling 'section above/below' references from the body split; moved the
reset-permissions playbook to security-privacy.md (its routing home).
Reported-by: liuhao1024 <sunsky.lau@gmail.com>
Reported-by: gauravsaxena1997
Every SKILL.md description over 60 chars was silently truncated to
57 chars + '...' in the system-prompt skill index
(extract_skill_description, agent/skill_utils.py), destroying the
routing signal for 69 of 179 skills — some descriptions ran to
1,005 chars.
Rewrites follow the authoring standard: <=60 chars, one sentence,
ends with a period, trigger front-loaded, no marketing words, no
skill-name repetition. Excess detail already lives in each skill's
body.
Includes the touchdesigner-mcp trim from PR #32361 (credit:
@JeliTron) and aligns with the router-precision direction of PR
#48780 (@John-Lussier). Docs catalogs + per-skill pages regenerated
via website/scripts/generate-skill-docs.py.
Co-authored-by: JeliTron <287797501+JeliTron@users.noreply.github.com>
skills/computer-use/SKILL.md sat at the root of the bundled skills
tree as an uncategorized single-skill directory. Move it to
skills/autonomous-ai-agents/computer-use/ alongside claude-code,
codex, opencode, and hermes-agent.
- git mv skills/computer-use -> skills/autonomous-ai-agents/computer-use
(history preserved)
- root-level-skill docstring examples (commands.py,
generate-skill-docs.py) now use a generic placeholder instead of
naming a specific skill, since categorizing root-level skills is
ongoing
- docs: move the bundled page to autonomous-ai-agents-computer-use,
update sidebars.ts, skills-catalog.md, and the two skill-path
references in features/computer-use.md
E2E validated: fresh sync_skills() copies to the new nested path;
existing installs with the old flat copy keep it untouched (manifest
name-keyed, hash unchanged -> skipped, no duplicate);
_get_category_from_path resolves 'autonomous-ai-agents'; docusaurus
build green; 396 targeted tests pass.
Claude Code's /simplify was renamed away, community-restored, and rebuilt
since our 3-agent port (v2.1.63 -> v2.1.154+). This brings simplify-code
in line with the current upstream design, re-expressed in our own wording
and layered onto our existing risk-tier/confidence machinery:
- New Reviewer 4 (Altitude): flags band-aid fixes layered on shared
infrastructure — special cases, symptom patches with unfixed sibling
sites, workaround stacks — and points at the deeper mechanism fix.
Matches our AGENTS.md 'fix the class, not the site' rubric.
- Explicit cleanup-vs-bug-hunt boundary: this skill improves working
code; correctness review stays with requesting-code-review.
- Inline single-pass fallback when delegate_task is unavailable (leaf
subagents, delegation disabled) — previously the skill just broke;
now all four angles run sequentially with honest disclosure.
- Finding format gains a concrete-cost field.
- Efficiency reviewer adds closure-capture scope-retention leaks.
- Pitfalls: fan-out cap 3 -> 4, band-aid-vs-deliberate-boundary caveat,
no-bug-hunting drift guard.
Kept our value-adds upstream lacks: SAFE/CAREFUL/RISKY tiers,
Chesterton's Fence via git blame, dry-run/focus/scope modifiers.
The yuanbao skill is platform-specific guidance for Tencent Yuanbao
group chats — niche for the default bundled set. Per the
'when in doubt, optional' rule, ship it as an optional skill.
Install via: hermes skills install official/yuanbao/yuanbao
The nano-pdf description repeated the skill name ('via nano-pdf CLI'),
violating the skill authoring standard, and spent its char budget
restating the name instead of distinguishing the skill from the
structural pdf skill. New description: 'Edit text in existing PDFs via
natural-language prompts.' (56 chars) — no name repetition, and
'text in existing PDFs' contrasts cleanly with pdf's
'Create, merge, split, fill, and secure PDF files.'
Propagated to the auto-generated docs pages and zh-Hans locale
(catalog row + per-skill page) for locale parity.
Per the 'when in doubt, optional' rule — zero-shot image segmentation
via SAM is a niche computer-vision capability with heavy deps
(torch, transformers), not something most users load.
Install via: hermes skills install official/mlops/segment-anything
Both are heavy-dep, GPU-bound local music-generation skills (8-16GB VRAM,
torch stacks, manual source patches) that were bundled in two different
categories (media/ and mlops/models/). Per the 'when in doubt, optional'
rule they now sit side by side in optional-skills/creative/, and the
bundled songwriting-and-ai-music skill points at them for local generation.
- git mv skills/media/heartmula -> optional-skills/creative/heartmula
- git mv skills/mlops/models/audiocraft -> optional-skills/creative/audiocraft
- cross-link related_skills both ways + songwriting-and-ai-music
- new section 10 in songwriting-and-ai-music with install commands
- docs: bundled pages -> optional pages (en + zh-Hans), catalogs, sidebar
Install via:
hermes skills install official/creative/heartmula
hermes skills install official/creative/audiocraft
The hermes-agent skill body was a 51KB monolith loaded in full on every
trigger. It is now a lightweight hub (~12KB): identity, quick start, the
tmux orchestration guide (kept in-body — the autonomous-ai-agents category
contract), surface orientation, and hard invariants, with a routing table
into 18 reference files that carry the depth.
Absorbed four Hermes-specific skills as first-class references so their
content gains a discoverable home and room to grow without bloating any
primary body:
- skills/hermes-themes -> references/themes.md + templates/skin.yaml
- skills/hermes-desktop-plugins -> references/desktop-plugins.md + templates/plugin.js
- skills/productivity/tui-widgets -> references/tui-widgets.md + templates/clock.mjs
- skills/productivity/petdex -> references/petdex.md
New references extracted from the old body: cli-reference, slash-commands,
providers-and-models, configuration, project-context-files,
security-privacy, background-systems, windows-quirks, troubleshooting,
contributor-guide (native-mcp and webhooks already existed). Also commits
delegate-task-concurrency-diagnosis and portal-auth-for-third-party-apps,
which the old body referenced but the repo never shipped.
Description updated to cover the widened scope:
'Use, configure, theme, extend, and orchestrate Hermes Agent.' (60 chars)
skills/dogfood/SKILL.md sat at the root of the bundled skills tree,
making it one of the few uncategorized skills (Discord /skill
autocomplete listed it under 'uncategorized'; hermes_cli/commands.py
cited it as the example). Move it to
skills/software-development/dogfood/ alongside the other QA/testing
skills (test-driven-development, systematic-debugging,
requesting-code-review).
- git mv skills/dogfood -> skills/software-development/dogfood
(history preserved)
- fix test fixture path in tests/tools/test_browser_console.py
- update root-level-skill docstring examples (commands.py,
generate-skill-docs.py) to cite computer-use, which is still root-level
- drop 'dogfood' from the category list in hermes-agent-skill-authoring
SKILL.md (en + zh-Hans docs mirrors)
- docs: regenerate/move the bundled page to
software-development-dogfood (en + zh-Hans), update sidebars.ts,
skills-catalog.md, and the adversarial-ux-test related-skills link
E2E validated: fresh sync_skills() copies to the new nested path;
existing installs with the old flat copy keep it untouched (manifest is
name-keyed, hash unchanged -> skipped, no duplicate);
_get_category_from_path resolves 'software-development'; docusaurus
build green.
Per the 'when in doubt, optional' rule — the live-kernel workflow needs
uv + JupyterLab + a running server + a cloned hamelnb repo, a niche
setup that shouldn't ship active by default.
Renamed jupyter-live-kernel -> jupyter-notebook (skill name, page slugs,
catalogs, sidebar, zh-Hans mirror, darwinian-evolver related_skills).
Install via: hermes skills install official/data-science/jupyter-notebook
Follow-up on kshitijk4poor's cherry-picked references:
- pitfalls.md rewritten from the raw-socket blender_exec() frame to the
MCP-tool frame (dropped 'MCP server is optional, talk to the socket
directly' — now the anti-pattern; dropped TCP-helper internals items;
kept all bpy/addon knowledge: empty code results in 5.x, temp-file
readback, ops-vs-data context, engine names by version, GPU setup)
- recipes.md: blender_exec -> execute_blender_code in the agent-side
verification snippet
- SKILL.md: reference-file table added to Quick Reference, version
2.1.0, kshitijk4poor added to authors
- docs page regenerated (scoped to this skill)
The optional blender-mcp skill predates the blender MCP catalog entry
(#64463) and taught the agent to hand-roll raw TCP JSON to the addon's
socket on port 9876 from execute_code — bypassing the catalog's version
pinning and install-time tool curation.
Reworked to v2.0.0 as the companion skill for the catalog entry:
- prerequisites now go through 'hermes mcp install blender'
- interaction surface is the four curated MCP tools, not a raw socket
- keeps the valuable content: addon setup, bpy recipes (materials,
keyframes, render-to-file), pitfalls (timeouts, absolute paths,
object mode), plus new pitfalls (xvfb headless, no-sandbox warning,
remote-host path resolution)
- explicit anti-pattern note: do not hand-roll TCP to 9876
- description shortened to <=60 chars per skill authoring standards
alireza78a's original bpy patterns and pitfalls are preserved and
credited. Docs page regenerated via generate-skill-docs.py (scoped to
this skill only; unrelated generator drift left untouched).
The model could pass `toolsets` (top-level and per-task) to delegate_task,
letting it choose which toolsets a subagent got. Toolset selection is a
capability-scoping decision the model should not control; subagents inherit
the parent's enabled toolsets, period.
- Remove `toolsets` from the delegate_task() signature, the registry handler,
the top-level + per-task JSON schema, and the live dispatch path
(run_agent._dispatch_delegate_task — this forwarded it on every model call).
- Single-task and per-task child builds now pass toolsets=None so
_build_child_agent resolves to pure parent inheritance.
- Drop the now-dead _SUBAGENT_TOOLSETS / _TOOLSET_LIST_STR schema-hint block.
- _build_child_agent keeps its internal toolsets param + intersection helpers
(internal API; fed the inherited value only).
- Tests: schema assertions flipped to assertNotIn; added a regression test
proving the dispatch path never forwards a smuggled model `toolsets`.
- Docs: update delegate_task signature refs in the autonomous-ai-agents skill.
Port the two genuinely-novel ideas from Command Code's /design skill into
our existing claude-design skill (skill-only, zero model-tool footprint):
- Surface-First: commit to one of 7 surface archetypes (Monitor/Operate/
Compare/Configure/Decide/Explore/Command) before any visual tokens. Most
AI design slop is compositional, not cosmetic — conditioning generation on
a surface choice collapses entropy the way a CoT step does. Workflow step 3.
- Slop Diagnostic: the ~10 tells that account for ~90% of the 'this is AI'
signal, as a score-out-of-10 self-audit. Diagnose-then-treat: the report is
context not a to-do list; repair only what fired, matched to the tell
(re-layout vs recolor vs de-decorate). Workflow step 7 (Verify).
Did NOT clone /design's 16-mode CLI, proprietary reference corpus, or make it
a core tool. Docs page regenerated via generate-skill-docs.py.
* feat(moa): expose MoA presets as selectable virtual models
Reconstructed onto current main (PR #46081's base had diverged with no common
ancestor, marking the PR dirty so CI never dispatched). MoA is now a virtual
provider: each named preset is a selectable model under provider 'moa', and the
preset's aggregator is the acting model that answers and calls tools.
Reference models fan out in parallel via a bounded ThreadPoolExecutor (the same
batch pattern delegate_task uses) — all references dispatched at once, collected
when every one finishes, then handed to the aggregator. Output order is
preserved, failures and the MoA-recursion guard stay isolated per reference.
- Removed the old mixture_of_agents model tool and moa toolset.
- Added moa as a virtual provider in the provider/model inventory.
- /moa is shortcut behavior over model selection (default preset / named preset
/ one-shot prompt).
- Dashboard + Desktop manage named presets; presets appear in model pickers.
- Parallel reference fan-out in agent/moa_loop.py with regression test.
* fix(moa): thread moa_config through _run_agent to _run_agent_inner
The reconstructed gateway MoA wiring declared moa_config on _run_agent (the
profile-scoping wrapper) and used it inside _run_agent_inner, but the wrapper
never forwarded it — _run_agent_inner had no such parameter, so the runtime hit
NameError: name 'moa_config' is not defined on the compression-failure session
sync path. Add moa_config to _run_agent_inner's signature and forward it from
both wrapper call sites (multiplex and non-multiplex). Caught by
tests/gateway/test_compression_failure_session_sync.py on CI shard test(4).
* fix(moa): classify moa as a virtual provider in the catalog
The moa virtual provider has no PROVIDER_REGISTRY/ProviderProfile entry, so
provider_catalog() fell through to the default auth_type="api_key" with no
env vars — tripping two catalog invariants:
- test_provider_catalog: api_key providers must expose a credential env var
- test_provider_parity: every hermes-model provider must be desktop-configurable
moa already declares auth_type="virtual" in HERMES_OVERLAYS; consult that
overlay as an auth_type fallback so the catalog reports moa as virtual (no real
credential, no network endpoint). Exempt virtual providers from the desktop
parity union check the same way 'custom' is exempt — derived from the catalog,
not a hardcoded slug, so future virtual providers are covered too.
* feat(providers): remove google-gemini-cli + google-antigravity OAuth providers
Google now actively bans accounts for third-party tools that piggyback on
Gemini CLI / Antigravity / Code Assist OAuth, and because abuse prevention
sits at a backend layer the ban can extend to the entire Google account
(Gmail/Drive), with a second violation being permanent.
Ref: https://github.com/google-gemini/gemini-cli/discussions/20632
Removes both OAuth inference providers entirely (modules, provider profiles,
auth/runtime/config/models wiring, the /gquota Code Assist quota command,
the antigravity-cli optional skill, desktop + docs surface in en + zh-Hans).
The API-key 'gemini' provider (GOOGLE_API_KEY/GEMINI_API_KEY against
generativelanguage.googleapis.com) is unaffected and stays fully supported.
* fix(skills): keep the antigravity-cli skill — only the OAuth provider is removed
The antigravity-cli optional skill orchestrates the external `agy` binary as
a coding-agent tool via the terminal tool — it does NOT wrap Hermes inference
through the banned google-antigravity OAuth provider, so it carries none of
the account-ban risk that motivated removing that provider. Restore the skill,
its docs page, the sidebar entry, and the optional-skills catalog row. The
google-antigravity / google-gemini-cli inference providers stay fully removed.
The kanban-worker and kanban-orchestrator bundled skills existed only to
be force-loaded into dispatcher-spawned workers, gated by
environments:[kanban] so they wouldn't leak into normal CLI listings.
That gating was fragile (the leak that #50443 patched) and the
--skills auto-load was already best-effort — most workers ran without it
because the bundled skill isn't present in profile-scoped skills dirs.
Remove the skills entirely and promote their load-bearing content
(workspace kinds, deliverable artifacts, created-card integrity, profile
discovery) into KANBAN_GUIDANCE, which is already injected into every
kanban worker's system prompt. Net result: every worker reliably gets
the guidance, nothing can leak into a CLI/blank-slate session, and the
gating machinery is gone.
- agent/prompt_builder.py: promote the 4 load-bearing rules into KANBAN_GUIDANCE
- hermes_cli/kanban_db.py: drop --skills kanban-worker auto-injection + _kanban_worker_skill_available probe
- hermes_cli/kanban_swarm.py: drop skills=[kanban-orchestrator] on the root card
- hermes_cli/kanban.py: drop kanban-init skill seeding; fix help text
- delete skills/devops/kanban-{worker,orchestrator}
- docs: delete the two skill pages (EN+zh), fix sidebars/catalog/kanban.md/kanban-worker-lanes.md and the video-orchestrator + codex-lane references
- tests: update spawn-argv expectations; re-bound the guidance-size guard
Supersedes the skill-leak half of #50443 (credit @helix4u for flagging the area).
When model.context_length is set in config.yaml, it blocks auto-detection
from the server's /v1/models endpoint. The skill incorrectly implied a
hard fallback to 131072. Add the resolution chain and the fix command
(hermes config set model.context_length "") to both the config table
and a new troubleshooting section.
Closes#48835
The bundled himalaya skill and its website docs documented command
syntax that does not match Himalaya CLI v1.2.0.
Verified against pimalaya/himalaya v1.2.0 source:
- message move: MessageMoveCommand declares target_folder BEFORE
envelopes (src/email/message/command/move.rs) -> usage is
'<TARGET> <ID>...', so 'move 42 "Archive"' is wrong; correct is
'move "Archive" 42'.
- message copy: same ordering in copy.rs.
- attachment download: AttachmentDownloadCommand exposes the flag as
'-d, --downloads-dir <PATH>' (src/email/message/attachment/command/
download.rs), not '--dir'.
Fixed in all three surfaces that carried the wrong examples:
- skills/email/himalaya/SKILL.md
- website/docs/.../email-himalaya.md
- website/i18n/zh-Hans/.../email-himalaya.md
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