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 h4vzz/awesome-ai-agent-skills --skill dependency-scanninggit clone --depth 1 https://github.com/h4vzz/awesome-ai-agent-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/h4vzz/awesome-ai-agent-skills/dependency-scanning)<a href="https://agentmods.dev/skills/h4vzz/awesome-ai-agent-skills/dependency-scanning"><img src="https://agentmods.dev/badge/skills/h4vzz/awesome-ai-agent-skills/dependency-scanning/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/h4vzz/awesome-ai-agent-skills/dependency-scanning"><img src="https://agentmods.dev/badge/skills/h4vzz/awesome-ai-agent-skills/dependency-scanning.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 | $0.00027 | $0.01918 |
| Opus 5.5 | $0.00011 | $0.00767 |
| Sonnet 5.5 | $0.00005 | $0.00384 |
| Haiku 4.5 | $0.00003 | $0.00192 |
Grade A, and why
dependency-scanning 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 1mo 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.
This is a copy
89% identical to dependency-scanning — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dependency Scanning
This skill enables the agent to analyze a project's direct and transitive dependencies for known security vulnerabilities, outdated packages, and license compliance issues. The agent parses manifest and lock files, queries vulnerability databases (NVD, GitHub Advisory, OSV), produces structured reports with CVE identifiers and remediation guidance, and can generate a Software Bill of Materials (SBOM) in standard formats.
Workflow
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Detect Package Ecosystem and Manifest Files — Identify the project's language ecosystem by locating dependency manifests such as
package.jsonandpackage-lock.json(Node.js),requirements.txtandPipfile.lock(Python),pom.xmlorbuild.gradle(Java),go.sum(Go), orGemfile.lock(Ruby). Detect monorepo structures with multiple manifests. -
Resolve the Full Dependency Tree — Parse lock files to build the complete dependency graph including transitive dependencies. Identify dependency depth, shared sub-dependencies, and version constraints. Flag phantom dependencies that are used in code but missing from the manifest.
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Scan Against Vulnerability Databases — Query the National Vulnerability Database (NVD), GitHub Advisory Database, and OSV for each resolved package and version. Match results by CPE or PURL identifier. Record CVE IDs, CVSS scores, severity levels, affected version ranges, and fixed versions where available.
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Assess License Compliance — Extract the declared license for each dependency and compare it against the project's license policy. Flag copyleft licenses (GPL, AGPL) in proprietary projects, identify packages with no declared license, and detect license conflicts between direct and transitive dependencies.
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Generate SBOM and Vulnerability Report — Produce a Software Bill of Materials in CycloneDX or SPDX format. Generate a vulnerability report sorted by severity, including CVE identifiers, affected dependency paths, available fix versions, and whether the vulnerable code path is reachable.
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.
- 1mo ago First seen · 127 lines · 27 tokens per session scan A 5fc36c1f869d
dependency-scanning is a skill published in the GitHub repository h4vzz/awesome-ai-agent-skills (36 stars, last pushed 22d ago), licensed MIT. It adds 27 tokens to every session and 1,918 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to dependency-scanning, differing in 9 lines, and is treated as a copy.
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