Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/yarlson/yarstack/dependency-reviewnpx skills add yarlson/yarstack --skill dependency-reviewgit clone --depth 1 https://github.com/yarlson/yarstackWhat 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 | $0.00038 | $0.00308 |
| Opus 5 | $0.00019 | $0.00154 |
| Sonnet 5 | $0.00008 | $0.00062 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
dependency-review scanned grade A with 0 findings 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 2d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Dependency Review
Own dependency necessity, provenance, pinning, reproducibility, and generated-state consistency.
Workflow
- Confirm the changed dependency surface, comparison target, repository pinning policy, and expected update path.
- Establish the consumer and current need for each added, removed, or changed dependency or tool.
- Verify manifest, lockfile, vendor, checksum, and generated-state consistency without normalizing unrelated content.
- Check provenance, registries, Git sources, floating versions, fetched installers, lifecycle scripts, and reproducibility.
- Prefer trusted offline and non-mutating checks. Require explicit authority before network access, installation, cache mutation, lifecycle-script execution, or regeneration.
- Delegate exploitability and credentials to
security-review, CI machinery toci-review, infrastructure impact toinfra-review, and runtime compatibility torollout-readiness-review.
Report each finding with location, affected contract, evidence, consequence, smallest correction, verification, and uncertainty. State directly when no actionable finding exists. An evidenced inconclusive result is valid when tooling or provenance is unavailable.
Do not upgrade unrelated dependencies, churn an entire lockfile, add scanners, or trust committed generated code without checking its source.
Finish when each changed dependency is accounted for and residual provenance or reproducibility risk is explicit.
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.
- 2d ago First seen · 24 lines · 38 tokens per session scan A 9ba71d720e64
dependency-review is a skill published in the GitHub repository yarlson/yarstack (3 stars, last pushed 5d ago), licensed MIT. It adds 38 tokens to every session and 308 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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Verify that a regression test actually detects the defect it claims to guard against. Use after adding or reviewing a bug-fix guard, reproducing the original failure after a fix, or investigating a suspiciously green regression test. Do not use for general TDD, broad test-suite audits, mutation-score optimization…
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Audit and establish or upgrade the canonical repository governance baseline. Use only when explicitly asked to bootstrap, standardize, or upgrade a repository; do not use for feature development or source-code restructuring.
repository-hygiene
Perform a read-only evidence-based audit of stale docs, agent files, scripts, generated artifacts, duplicate code, and optional tools. Use only when explicitly asked for cleanup or governance review; do not delete or refactor during the audit.