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 snyk/studio-recipes --skill secure-dependency-health-checkgit clone --depth 1 https://github.com/snyk/studio-recipesWrote 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/snyk/studio-recipes/secure-dependency-health-check)<a href="https://agentmods.dev/skills/snyk/studio-recipes/secure-dependency-health-check"><img src="https://agentmods.dev/badge/skills/snyk/studio-recipes/secure-dependency-health-check/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/snyk/studio-recipes/secure-dependency-health-check"><img src="https://agentmods.dev/badge/skills/snyk/studio-recipes/secure-dependency-health-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00107 | $0.01487 |
| Opus 5 | $0.00053 | $0.00744 |
| Sonnet 5 | $0.00021 | $0.00297 |
| Haiku 4.5 | $0.00011 | $0.00149 |
Grade A, and why
secure-dependency-health-check 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Secure Dependency Health Check
Help developers and AI agents make informed decisions when selecting open-source packages by evaluating security health, vulnerability history, popularity, community, and maintenance status.
Core Principle: Choose dependencies wisely to minimize supply chain risk.
Quick Start
When asked to recommend a package:
- Identify the functional requirement
- Research candidate packages
- Run
snyk_package_health_checkon each candidate - Compare and recommend the healthiest, most secure option
Phase 1: Understand Requirements
Goal: Clarify what the user needs before recommending packages.
Step 1.1: Identify Candidates
If user provided candidates:
- Note each package name and version (if specified)
- Identify the package ecosystem
If user needs suggestions:
- Search for packages that meet the functional requirement
- Select 2-4 top candidates based on popularity/relevance
Phase 2: Security & Health Analysis
Goal: Evaluate each candidate package's security posture and overall health.
Step 2.1: Run Package Health Check for Each Candidate
For each candidate package, run snyk_package_health_check with the package name, version, and ecosystem (npm, pypi, maven, nuget, or golang). Key fields returned:
overall_rating: "Healthy" or "Review recommended" — use as the primary evaluation metricsecurity: vulnerability counts by severity (critical/high/medium/low) and a security ratingmaintenance: lifecycle status, latest release date,is_archivedflag, and a maintenance rating ("Healthy", "Sustainable", or "Inactive")popularity: download counts, dependent packages/repos, and a popularity ratingcommunity: stargazers count, community file presence, and a rating ("Active" or "Sustainable")latest_version: the most recent published versionrecommendation: a human-readable summary of the overall assessment
Step 2.2: Review Tool Results
What ships with it
2 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.
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.
- 11d ago First seen · 184 lines · 107 tokens per session scan A db1d14c54fac
secure-dependency-health-check is a skill published in the GitHub repository snyk/studio-recipes (62 stars, last pushed 8d ago), licensed Apache-2.0. It adds 107 tokens to every session and 1,487 once invoked, about $0.0005 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 2026-08-30.
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