Borrowing it
Nothing to install: this file belongs to codervisor/leanspec. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/codervisor/leanspec/main/.claude/skills/watch-ci/SKILL.mdgit clone --depth 1 https://github.com/codervisor/leanspecWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/codervisor/leanspec/watch-ci)<a href="https://agentmods.dev/skills/codervisor/leanspec/watch-ci"><img src="https://agentmods.dev/badge/skills/codervisor/leanspec/watch-ci/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/codervisor/leanspec/watch-ci"><img src="https://agentmods.dev/badge/skills/codervisor/leanspec/watch-ci.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 30 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 45 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 58 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- low Supply Chain · line 29 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- low Supply Chain · line 44 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- low Supply Chain · line 57 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.00822 |
| Opus 5.5 | $0.00010 | $0.00329 |
| Sonnet 5.5 | $0.00005 | $0.00164 |
| Haiku 4.5 | $0.00003 | $0.00082 |
Grade A, and why
watch-ci scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
The `gh` CLI is **not available** in the Claude VM. Use the GitHub REST API via `curl`. How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Watch CI
Poll the GitHub Actions CI pipeline for the current HEAD commit until all jobs finish.
Environment
The gh CLI is not available in the Claude VM. Use the GitHub REST API via curl.
The repo is codervisor/leanspec.
Steps
-
Get the current commit SHA and branch:
SHA=$(git rev-parse HEAD) BRANCH=$(git branch --show-current) echo "Watching CI for commit $SHA on branch $BRANCH" -
Find the workflow run matching our exact commit. The API returns runs newest-first; filter by
head_sha. If the run hasn't appeared yet (GitHub can take a few seconds), retry up to 5 times with 10s waits:curl -sH "Accept: application/vnd.github+json" \ "https://api.github.com/repos/codervisor/lean-spec/actions/runs?branch=$BRANCH&head_sha=$SHA&per_page=1" \ | python3 -c " import json, sys data = json.load(sys.stdin) runs = data.get('workflow_runs', []) if not runs: print('NO_RUNS'); sys.exit() r = runs[0] print(f'RUN_ID={r[\"id\"]}') print(f'Status: {r[\"status\"]} Conclusion: {r.get(\"conclusion\") or \"pending\"} Commit: {r[\"head_sha\"][:8]}')" -
Poll jobs until all complete (every 60s for Rust builds which take ~8-10 min):
curl -sH "Accept: application/vnd.github+json" \ "https://api.github.com/repos/codervisor/lean-spec/actions/runs/$RUN_ID/jobs" \ | python3 -c " import json, sys data = json.load(sys.stdin) for j in data.get('jobs', []): steps = [s for s in j.get('steps', []) if s['status'] == 'in_progress'] step_info = f' -> {steps[0][\"name\"]}' if steps else '' print(f'{j[\"name\"]:40} {j[\"status\"]:12} {j.get(\"conclusion\") or \"\"}{step_info}')" -
On failure, fetch the failed job logs to diagnose:
curl -sH "Accept: application/vnd.github+json" \ "https://api.github.com/repos/codervisor/lean-spec/actions/runs/$RUN_ID/jobs" \ | python3 -c " import json, sys data = json.load(sys.stdin) for j in data.get('jobs', []): if j.get('conclusion') == 'failure': print(f'FAILED: {j[\"name\"]} (id: {j[\"id\"]})') for s in j.get('steps', []): if s.get('conclusion') == 'failure': print(f' Step: {s[\"name\"]}')"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 81 lines · 25 tokens per session scan A 2b5dc6a3b1b2
watch-ci is a skill published in the GitHub repository codervisor/leanspec (300 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 822 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
watch-ci compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| watch-cicodervisor/leanspec | Skill | 300 | 5mo ago | MIT | A | 25 | Claude Code |
| shipping-and-launchloiane/specs-driven-development-spring-angular | Skill | 62 | yesterday | MIT | A | 64 | Claude Code |
| aiox-devopsSynkraAI/aiox-core | Skill | 3.1k | yesterday | none | A | 51 | Claude Code |
| aiox-devopsSynkraAI/aiox-core | Skill | 3.1k | yesterday | none | A | 41 | Codex |
| setup-repofiratcand/forge | Skill | 14 | 3mo ago | MIT | A | 31 | Claude Code, Codex |
| github-managerchainlesschain/chainlesschain | Skill | 11 | today | none | A | 21 | Claude Code |
| deployment-patternsaffaan-m/ECC | Skill | 298k | 4d ago | MIT | A | 41 | Claude Code, Kiro |