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 Eliyce/paqad-ai --skill dependency-advisory-triagegit clone --depth 1 https://github.com/Eliyce/paqad-aiWrote 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/eliyce/paqad-ai/dependency-advisory-triage)<a href="https://agentmods.dev/skills/eliyce/paqad-ai/dependency-advisory-triage"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/dependency-advisory-triage/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/eliyce/paqad-ai/dependency-advisory-triage"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/dependency-advisory-triage.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 | $0.00020 | $0.00516 |
| Opus 5 | $0.00010 | $0.00258 |
| Sonnet 5 | $0.00004 | $0.00103 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
dependency-advisory-triage 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.
What it actually says
What It Does
Normalizes native package-manager audit output and online advisory results into one dependency finding model so package risk is deduplicated before reporting.
Use This When
Use this during the pentest workflow after dependency audit scripts and advisory lookups have produced raw artifacts that need to be merged into stable findings.
Inputs
- Read the raw dependency audit artifacts first.
- Read
references/advisory-normalization.mdbefore deciding whether two advisories are the same issue. - Read installed package versions from the stack snapshot when it exists.
Procedure
- Run
scripts/normalize-advisories.sh <artifact1> <artifact2> ...to merge npm/pnpm/OSV outputs into one JSONL stream keyed by (ecosystem, package, advisory_id). - For each merged record, write one finding using
assets/output.template.md. - Keep remediation focused on upgrade, replacement, or compensating control.
- Validate with
scripts/lint-output.sh— duplicate keys fail the build.
Output Contract
- Match
assets/output.template.md:## Dependency Findingswith### {{ecosystem}}:{{package}} — {{advisory-id}}per finding plus Severity/Installed/Sources/Title/Remediation lines. - Output must pass
scripts/lint-output.sh(exit 0).
Escalate / Stop Conditions
- Ask when a package name or installed version cannot be matched to the advisory evidence.
- Warn when audit output and advisory services disagree on whether the package is affected.
- Do not assume a package is fixed just because one advisory source is silent.
Resources
references/advisory-normalization.mdscripts/normalize-advisories.shscripts/lint-output.shassets/output.template.mdagents/openai.yaml
What ships with it
5 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.
- 9d ago First seen · 65 lines · 20 tokens per session scan A 7e698295f6a6
dependency-advisory-triage is a skill published in the GitHub repository Eliyce/paqad-ai (8 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 516 once invoked, about $0.0001 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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