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 skills add bestagentkits/agency-skills --skill dependency-auditorgit clone --depth 1 https://github.com/bestagentkits/agency-skillsWrote 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/bestagentkits/agency-skills/dependency-auditor)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/dependency-auditor"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/dependency-auditor/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/bestagentkits/agency-skills/dependency-auditor"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/dependency-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00084 | $0.01026 |
| Opus 5 | $0.00042 | $0.00513 |
| Sonnet 5 | $0.00017 | $0.00205 |
| Haiku 4.5 | $0.00008 | $0.00103 |
Grade A, and why
dependency-auditor 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- dependency-auditor — 88% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dependency Auditor
Skill Type: POWERFUL · Category: Engineering · Domain: Dependency Management & Security
Offline, deterministic dependency auditing across 8+ package ecosystems. The three scripts are pattern-matchers over manifests/lockfiles — they do not call live advisory APIs; pair their findings with npm audit / pip-audit / cargo audit for current CVE coverage.
Quick Start
# 1. Scan for vulnerabilities (built-in offline CVE pattern set; exit non-zero on high severity)
python3 scripts/dep_scanner.py /path/to/project --format json --fail-on-high -o scan.json
# 2. Check license compliance and conflicts
python3 scripts/license_checker.py /path/to/project --policy strict --format json -o licenses.json
# 3. Plan upgrades from the scanner's inventory
python3 scripts/upgrade_planner.py scan.json --risk-threshold medium --timeline 90 --format json -o plan.json
Consume the outputs: scan.json findings drive which packages to pin/patch now; licenses.json conflicts go to the user as a legal-risk list; plan.json orders upgrades by risk with rollback notes. --quick-scan skips transitive deps; --security-only limits the plan to security fixes.
Verification loop: after applying upgrades, re-run step 1 and assert 0 high-severity findings before closing the audit.
Supported Ecosystems
| Language | Manifests parsed |
|---|---|
| JavaScript/Node | package.json, package-lock.json, yarn.lock |
| Python | requirements.txt, pyproject.toml, Pipfile.lock, poetry.lock |
| Go | go.mod, go.sum |
| Rust | Cargo.toml, Cargo.lock |
| Ruby | Gemfile, Gemfile.lock |
| Java | pom.xml, gradle.lockfile |
| PHP | composer.json, composer.lock |
| C#/.NET | packages.config, project.assets.json |
License Classification
- Permissive: MIT, Apache 2.0, BSD (2/3-clause), ISC
- Copyleft (strong): GPL v2/v3, AGPL v3 — flags contamination risk in permissive projects
- Copyleft (weak): LGPL v2.1/v3, MPL 2.0
- Proprietary / Dual / Unknown — unknown licenses are surfaced for manual review
What ships with it
16 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 208 B
- assets/sample_go.mod 2.1 KB
- assets/sample_package.json 1.9 KB
- assets/sample_requirements.txt 1.1 KB
- expected_outputs/sample_license_report.txt 930 B
- expected_outputs/sample_upgrade_plan.txt 2.0 KB
- expected_outputs/sample_vulnerability_report.json 1.7 KB
- README.md 15 KB
- references/dependency_management_best_practices.md 18 KB
- references/license_compatibility_matrix.md 8.7 KB
- references/vulnerability_assessment_guide.md 14 KB
- scripts/dep_scanner.py 31 KB runs code
- scripts/license_checker.py 43 KB runs code
- scripts/upgrade_planner.py 42 KB runs code
- test-inventory.json 9.7 KB
- test-project/package.json 1.9 KB
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.
- 9d ago First seen · 86 lines · 84 tokens per session scan A 1f36f3237baf
dependency-auditor is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 84 tokens to every session and 1,026 once invoked, about $0.0004 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 2026-09-03.
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