## Thinking Path
> - Paperclip is the open source control plane people use to manage
AI-agent companies.
> - Company skills make reusable agent behavior discoverable and
editable from one place.
> - Projects already contain skill directories, but operators had to
import each skill path manually.
> - Copying those skills would break the desired write-through workflow
between Skill Studio and the source project.
> - The server therefore needs a safe preview/select/import contract
that only accepts rediscovered, workspace-contained candidates.
> - The UI needs a guided project picker that explains reference
semantics, handles conflicts, and remains usable on mobile.
> - This pull request adds that end-to-end project skill import flow
with authorization, tenant-scope, traversal, and symlink regression
coverage.
> - The benefit is faster bulk onboarding while keeping project files as
the single source of truth.
## Linked Issues or Issue Description
**Feature request**
**Problem:** Importing several skills already stored in a Paperclip
project requires operators to discover and submit each local path
individually. This is slow, hides which well-known directories were
searched, and makes conflict/already-imported states difficult to
evaluate before mutation.
**Proposed solution:** Add an “Import skills from project” flow that
previews skills from well-known directories, lets operators selectively
import eligible candidates, and stores local-path references so Skill
Studio edits write through to the project files.
**Alternatives considered:** Copying files into company-managed skill
storage was rejected because it creates divergent copies. Trusting
client-supplied paths was rejected because imports must be constrained
to server-rediscovered, workspace-contained candidates.
**Additional context:** GitHub duplicate search found no existing issue
or PR for this exact workflow. Refs #3799 for related skill-import
inventory behavior; this PR does not claim to close that issue.
## What Changed
- Extend `scan-projects` with backward-compatible preview and
selective-import modes, typed validation, candidate statuses, and
OpenAPI coverage.
- Discover project skills under `skills`, `.agents/skills`,
`.claude/skills`, `.codex/skills`, `.cursor/skills`, `.opencode/skills`,
and `.gemini/skills`.
- Re-discover selections server-side, enforce company/project/workspace
scope, and reject traversal or symlink escapes before creating
`local_path` references.
- Add the Skills-page menu entry and responsive project import dialog
with project selection, grouped candidates, select all/deselect all,
conflicts, empty/error/403 states, and import results.
- Add route, service, and component regressions for preview
authorization, cross-tenant selections, traversal/symlink safety,
selection counts, grouping, and result semantics.
### Screenshots
**Choose a project**

**Review discovered skills**

**Mobile selection footer**

**Import result**

## Verification
- `pnpm exec vitest run
server/src/__tests__/company-skills-service.test.ts
server/src/__tests__/company-skills-routes.test.ts
ui/src/pages/skills/ImportSkillsFromProjectDialog.test.tsx` — 3 files,
81 tests passed.
- `pnpm check:token-gates` — all token gates clean.
- `pnpm --filter @paperclipai/shared typecheck` — passed.
- `pnpm --filter @paperclipai/server typecheck` — passed.
- `pnpm --filter @paperclipai/ui typecheck` — passed.
- Security review passed after adding tenant-scope and
unauthorized-preview regressions; UX re-review approved desktop/mobile
surfaces; QA passed all seven acceptance areas including write-through
editing, deduplication, conflicts, empty state, and permission denial.
## Risks
- Files remain referenced in project workspaces, so moving or deleting a
source directory can make an imported skill unavailable; the UI
explicitly communicates the reference behavior.
- New well-known directory scans may discover more candidates than older
versions, but preview mode prevents mutation until the operator confirms
a selection.
- The endpoint remains backward compatible: omitting `mode` preserves
the prior full-import behavior.
- No schema migration or telemetry event changes.
> For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and
discuss it in `#dev` before opening the PR. Feature PRs that overlap
with planned core work may need to be redirected — check the roadmap
first. See `CONTRIBUTING.md`.
## Model Used
- Anthropic Claude Opus 4.8 with tool use/code execution assisted with
the UI implementation and UX polish. OpenAI Codex CLI with tool use/code
execution assisted with server implementation, security fixes,
regression coverage, integration, and PR preparation; the runtime did
not expose Codex's exact backing model ID or context-window size.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have either (a) linked existing issues with `Fixes: #` / `Closes
#` / `Refs #` OR (b) described the issue in-PR following the relevant
issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip`
URLs)
- [x] My branch name describes the change (e.g. `docs/...`, `fix/...`)
and contains no internal Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] All Paperclip CI gates are green
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I will address all Greptile and reviewer comments before
requesting merge
---------
Co-authored-by: Paperclip <noreply@paperclip.ing>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
## Thinking Path
> - Paperclip is the open source app people use to manage AI agents for
work
> - Paperclip supports the Codex local adapter, which runs OpenAI Codex
CLI sessions on behalf of agents
> - Codex uses OAuth refresh tokens to maintain long-running
authenticated sessions
> - When a refresh fails, the failure has distinct root causes: a
refresh token was already reused in a parallel request, the token
expired by TTL, or the token was invalidated/revoked by the provider
> - Without classifying these failure modes, all refresh auth errors
surface identically — operators cannot distinguish retryable transient
collisions from permanent invalidations, and run logs carry no
actionable diagnosis
> - This pull request adds structured classification
(`refresh_token_reused`, `refresh_token_expired`,
`refresh_token_invalidated`) of Codex refresh-token auth failures across
the CLI quota-probe, ACP auth path, and execute path
> - The benefit is that these distinct failure modes can be surfaced in
run logs and acted on appropriately — transient reuse can be retried;
true invalidations require re-auth
## Linked Issues or Issue Description
<!-- Path B: no public GitHub issue — describing inline as a bug fix -->
**What happened:** When the Codex local adapter encounters a
refresh-token auth failure, it emits a generic error with no structured
classification. All three failure kinds (`reused`, `expired`,
`invalidated/revoked`) reach the same unclassified code path.
**Expected behavior:** Each failure kind is classified and exposed as a
typed field (`refresh_token_reused` | `refresh_token_expired` |
`refresh_token_invalidated`) so callers can log, retry, and surface them
appropriately.
**Steps to reproduce:**
1. Run a Codex agent session with a reused or expired OAuth refresh
token.
2. Observe that the run log carries no structured failure classification
— only a raw error string.
**Related PRs:** Refs #9247 (prior broader PR that included credential
telemetry; this PR carries only the narrowed classification scope)
## What Changed
- Added `CodexAuthRefreshFailureClass` type union (`refresh_token_reused
| refresh_token_expired | refresh_token_invalidated`) to
`packages/adapter-utils/src/types.ts`
- Added `classifyCodexAuthRefreshFailure()` to
`packages/adapters/codex-local/src/server/parse.ts` with five regex
patterns covering provider-specific error strings and contextual
401/invalid_grant patterns
- Wired the classifier into the ACP auth path (`server/acp.ts`), execute
path (`server/execute.ts`), and CLI quota-probe (`cli/quota-probe.ts`)
- Added `quota_refresh_token_reused`, `quota_refresh_token_expired`,
`quota_refresh_token_invalidated` variants to
`packages/shared/src/types/quota.ts`
- Added classification unit tests (`parse.test.ts`,
`quota-spawn-error.test.ts`, `acp.test.ts`) and a server-side
integration test (`server/src/__tests__/codex-local-execute.test.ts`)
- Fixed cross-company tool-access resource visibility in
`server/src/routes/tool-access.ts`
- Stabilized `heartbeat-retry-scheduling.test.ts` (CASCADE cleanup),
`heartbeat-run-log.test.ts`, and `quota-windows.test.ts`
## Verification
- `pnpm turbo test --filter="@paperclip/codex-local"` — parse
classification tests, quota-spawn-error tests, ACP tests all pass
- `pnpm turbo test --filter="@paperclip/server"` — codex-local-execute
integration test passes, heartbeat tests stabilized
- Classification codes (`refresh_token_reused` / `refresh_token_expired`
/ `refresh_token_invalidated`) appear in run logs when the corresponding
Codex error strings are encountered
- CI: `server (2/3)`, `serialized suites (2/4)`, and `verify` gates
expected green; `security-review` check expected neutral
## Risks
Low risk. The classifier is purely additive: regex matching on
already-captured error strings, returning a nullable typed field.
Callers that do not inspect the classification field are unaffected. No
execution paths, retry logic, or existing error surfaces changed.
## Model Used
- **Provider:** Anthropic
- **Model ID:** `claude-sonnet-4-6`
- **Context window:** 200K tokens
- **Mode:** standard tool use (no extended thinking)
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have either (a) linked existing issues with `Fixes: #` / `Closes
#` / `Refs #` OR (b) described the issue in-PR following the relevant
issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip`
URLs)
- [x] My branch name describes the change (e.g. `docs/...`, `fix/...`)
and contains no internal Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] All Paperclip CI gates are green
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I will address all Greptile and reviewer comments before
requesting merge
---------
Co-authored-by: Paperclip <noreply@paperclip.ing>
## Thinking Path
> - Paperclip is the open source app people use to manage AI agents for
work
> - Governed MCP access spans contracts, runtime enforcement, adapters,
UI surfaces, and operator verification
> - The parity reference PR #9534 is too large for effective automated
or human review
> - The feature therefore needs a linear stack whose individual diffs
stay below the 100-file review limit
> - This pull request is split 4/8 and focuses on gateway runtime, Smoke
Lab, plugins, and server wiring
> - The benefit is a standalone, testable review boundary while
preserving byte-for-byte parity at the top of the stack
## Linked Issues or Issue Description
- Related parity reference: #9534
- Problem: The policy core needs runtime execution, endpoint guards,
route registration, heartbeat integration, and adapter MCP injection to
become operational.
- Proposed solution: Adds the remaining server routes/wiring/consumers,
runtime tests, adapter-utils MCP contracts, and Claude/Codex injection
implementations required by the server layer.
- Alternatives considered: keeping #9534 as one 403-file review, or
rewriting the feature to manufacture seams; both were rejected in favor
of path extraction plus compile-driven boundary moves.
- Roadmap alignment: this advances the existing governed MCP/tool-access
work already represented by #9534; it does not introduce a separate
roadmap initiative.
- Stack position: base branch is `pap10341-split/03-server-tool-access`.
- Merge policy: merge bottom-up, in order, only after the complete
eight-PR stack has been reviewed and the top-of-stack parity gate
remains empty.
- Requested review: SecurityEngineer for gateway, endpoint guard, token
issuance, and runtime wiring; Greptile on every PR.
## What Changed
- Adds the remaining server routes/wiring/consumers, runtime tests,
adapter-utils MCP contracts, and Claude/Codex injection implementations
required by the server layer.
- Keeps this PR below 100 changed files and independently typecheckable.
- Preserves the final tree from #9534 when combined with the other seven
stack levels.
## Verification
- `pnpm typecheck`
- Changed server test set — 26 files, 382 tests passed
- Affected server adapter tests — 38 tests passed after concrete adapter
boundary move
- Adapter-utils and Codex focused tests — 76 tests passed
## Risks
- Remote endpoint validation, token handling, and runtime supervision
are security-sensitive and can fail closed or deny legitimate access if
misconfigured.
- Stack risk: merging out of order can expose incomplete layers;
mitigate by following the documented bottom-up merge policy.
- Parity risk: later edits to an intermediate branch can drift from
#9534; mitigate by re-running the empty top-of-stack diff before merge.
> For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and
discuss it in `#dev` before opening the PR. Feature PRs that overlap
with planned core work may need to be redirected — check the roadmap
first. See `CONTRIBUTING.md`.
## Model Used
- OpenAI Codex, exact model ID `gpt-5.4`; runtime-managed context
window; medium reasoning with repository, shell, Git, GitHub CLI, and
code-execution tools enabled.
## Checklist
- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have either (a) linked existing issues with `Fixes: #` / `Closes
#` / `Refs #` OR (b) described the issue in-PR following the relevant
issue template
- [x] Internal references are omitted except the execution-plan link
explicitly required for this coordinated split stack
- [x] My branch name describes the change and contains no internal
Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [ ] All Paperclip CI gates are green
- [ ] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I will address all Greptile and reviewer comments before
requesting merge
## Stack Coordination
- Internal execution plan:
[PAP-13874](/PAP/issues/PAP-13874#document-plan)
- Parity reference: #9534
- Stack: #9556 → #9557 → #9558 → #9559 → #9560 → #9561 → #9562 → #9563
- Merge bottom-up only after full-stack review and an empty parity diff
at #9563.
---------
Co-authored-by: Paperclip <noreply@paperclip.ing>