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 Arnosdeus/agent-toolkit --skill dependency-reviewgit clone --depth 1 https://github.com/Arnosdeus/agent-toolkitWrote 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/arnosdeus/agent-toolkit/dependency-review)<a href="https://agentmods.dev/skills/arnosdeus/agent-toolkit/dependency-review"><img src="https://agentmods.dev/badge/skills/arnosdeus/agent-toolkit/dependency-review/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/arnosdeus/agent-toolkit/dependency-review"><img src="https://agentmods.dev/badge/skills/arnosdeus/agent-toolkit/dependency-review.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 | $0.00028 | $0.00145 |
| Opus 5.5 | $0.00011 | $0.00058 |
| Sonnet 5.5 | $0.00006 | $0.00029 |
| Haiku 4.5 | $0.00003 | $0.00015 |
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 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.
What it actually says
Dependency Review
Procedure and output
Compare manifests and lockfiles, inspect usage, and check advisories and
licenses where available. Report BLOCKER, MAJOR, MINOR, or NOTE findings
with package/version evidence and remediation; never silently edit dependencies.
Inspect manifests and lockfiles for outdated, unused, duplicate, incompatible, or vulnerable packages; lockfile consistency; licensing concerns where detectable; and transitive risk. Do not upgrade automatically unless requested. Verify package provenance and explain the impact of each recommendation.
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 · 18 lines · 28 tokens per session scan A 640b9445b43a
dependency-review is a skill published in the GitHub repository Arnosdeus/agent-toolkit (2 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 145 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
first-plan-lens-engine
Skill que define o motor de detecção e roteamento de stack lenses do first-plan. Mapeia manifestos (go.mod, package.json, etc) -> stack -> papel -> lens skill correspondente. Use quando precisar decidir qual lens aplicar a uma pasta durante Discovery, ou quando estender suporte a uma nova stack.
first-plan-pattern-extraction
Skill que define como extrair padrões do código com confidence scoring. Use durante Discovery quando precisar identificar convenções, anti-padrões ou padrões idiomáticos do projeto. Cada padrão extraído deve vir com exemplo concreto do código (path:line).
code-review
Orchestrate an adaptive multi-agent review of a pull request or local change that builds a structural and semantic brief, assigns risk-based reviewer lanes at runtime, challenges and deduplicates their findings, verifies each one, and renders an evidence-backed review. Use when a pull request or local change needs…
tech-debt-audit
Audit a whole repository or subsystem for technical debt with at most four non-overlapping read-only subagents, lead verification, and interest-over-principal ranking, and produce an evidence-backed debt register. Use when the user wants to find, size, or prioritize existing debt across a codebase; not for reviewing…
changes-report
Report all repository changes that entered a target branch during one required date or period, grouped by product change and written as plain English for a broad audience. Use for daily, weekly, date-range, or relative-period change summaries rather than explaining one known diff.
jira-issue-create
Create one or more Jira issues through acli from user-approved drafts using heading-based Context, Acceptance criteria, and Engineering notes sections. Use only when explicitly invoked to create Jira issues; use jira-issue-refine when requirements still need refinement.