AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill agentic-actions-auditorgit clone --depth 1 https://github.com/sickn33/agentic-awesome-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/sickn33/agentic-awesome-skills/agentic-actions-auditor)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/agentic-actions-auditor"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/agentic-actions-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/sickn33/agentic-awesome-skills/agentic-actions-auditor"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/agentic-actions-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- 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 | $0.00059 | $0.05183 |
| Opus 5.5 | $0.00024 | $0.02073 |
| Sonnet 5.5 | $0.00012 | $0.01037 |
| Haiku 4.5 | $0.00006 | $0.00518 |
Grade A, and why
agentic-actions-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 yesterday.
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
8 near-identical copies found in the catalogue:
- agentic-actions-auditor — 100% identical, 10 lines differ
- agentic-actions-auditor — 100% identical, 76 lines differ
- agentic-actions-auditor — 100% identical, 76 lines differ
- agentic-actions-auditor — 100% identical, 76 lines differ
- agentic-actions-auditor — 100% identical, 76 lines differ
- agentic-actions-auditor — 100% identical, 76 lines differ
- agentic-actions-auditor — 100% identical, 76 lines differ
- agentic-actions-auditor — 100% identical, 76 lines differ
How it starts
The opening of the file, as written. The whole thing — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Supporting material availability
This AAS tree bundles the inline methodology only. The contributed guide named a foundations file, action profiles, cross-file resolution and nine vector reference files, but those files and an independently verified upstream source are absent. Do not claim they were read. Apply the inline checks below and report unsupported action-version details as unverified; recover external materials only from a verified source with a confirmed license.
Agentic Actions Auditor
Static security analysis guidance for GitHub Actions workflows that invoke AI coding agents. This skill teaches you how to discover workflow files locally or from remote GitHub repositories, identify AI action steps, follow cross-file references to composite actions and reusable workflows that may contain hidden AI agents, capture security-relevant configuration, and detect attack vectors where attacker-controlled input reaches an AI agent running in a CI/CD pipeline.
When to Use
- Auditing a repository's GitHub Actions workflows for AI agent security
- Reviewing CI/CD configurations that invoke Claude Code Action, Gemini CLI, or OpenAI Codex
- Checking whether attacker-controlled input can reach AI agent prompts
- Evaluating agentic action configurations (sandbox settings, tool permissions, user allowlists)
- Assessing trigger events that expose workflows to external input (
pull_request_target,issue_comment, etc.) - Investigating data flow from GitHub event context through
env:blocks to AI prompt fields
When NOT to Use
- Analyzing workflows that do NOT use any AI agent actions (use general Actions security tools instead)
- Reviewing standalone composite actions or reusable workflows outside of a caller workflow context (use this skill when analyzing a workflow that references them via
uses:) - Performing runtime prompt injection testing (this is static analysis guidance, not exploitation)
- Auditing non-GitHub CI/CD systems (Jenkins, GitLab CI, CircleCI)
- Auto-fixing or modifying workflow files (this skill reports findings, does not modify files)
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.
- yesterday Changed · +6 lines b06b2534777f
- 11d ago Changed · +8 lines · -4 tokens per session df0b33f251d4
- 1mo ago Changed · +6 lines cd36ee2f0e65
- 1mo ago First seen · 338 lines · 63 tokens per session scan A 5c20a6b301fd
agentic-actions-auditor is a skill published in the GitHub repository sickn33/agentic-awesome-skills (48,503 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 5,183 once invoked, about $0.0002 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 2026-08-30.
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