Coarse Review
Run the full Coarse peer review pipeline on a PDF. Orchestrates all sub-skills in sequence. Use when asked to review a paper.
Install
$ agentstack add skill-felipe-so-coarse-ink-claude-code-coarse-review ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-felipe-so-coarse-ink-claude-code-coarse-review) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
/coarse-review — Full Review Pipeline
Usage: /coarse-review papers/paper.pdf
Runs the complete Coarse review pipeline by invoking each sub-skill in sequence. All paths are relative to the workspace root d:/Dropbox/Research/Coarse Reviewer/.
The argument ($ARGUMENTS) is the path to the paper PDF.
Derive the slug from the filename: lowercase, spaces→hyphens, no extension. e.g. papers/my-paper.pdf → slug = my-paper
Pass the PDF path only to coarse-extract. Pass the slug to all subsequent sub-skills — they work entirely from cache files and never need the PDF again.
Pipeline
Run each sub-skill in order. Wait for each to complete before starting the next. If a sub-skill fails, stop and report the error — do not skip ahead.
| Step | Sub-skill | What it does | Output | |------|-----------|--------------|--------| | 1–2 | /coarse-extract $ARGUMENTS | PDF → markdown, parse sections | _extracted.md, _sections.json | | 3–6 | /coarse-classify | Classify, calibrate, contributions, literature | _classification.json, _calibration.json, _contribution.json, _literature.txt | | 7–8 | /coarse-overview | Macro overview + assumption check + completeness | _overview.json | | 9–11 | /coarse-section-review | Per-section review + adversarial proof verify + cross-section + compile | _comments_draft.json | | 12–13 | /coarse-editorial | Editorial filter + quote verify (Python) | _comments_verified.json | | 14 | /coarse-write | Write final review markdown | reviews/-review.md |
Cache location
All intermediate files are written to .coarse_cache/_*.json and .coarse_cache/_extracted.md. If a run is interrupted, you can resume from any sub-skill without re-running earlier steps — the cache files persist.
Notes
- Each sub-skill re-reads its dependencies from cache at startup, so context
compression between steps is safe.
- To re-run only part of the pipeline (e.g. redo the editorial filter after
adjusting a comment), invoke the relevant sub-skill directly.
- See
reference_review.mdfor the gold-standard output format.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Felipe-SO
- Source: Felipe-SO/coarse-ink-claude-code
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.