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.
git clone --depth 1 https://github.com/iamcxa/kc-claude-pluginsWrote 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/agents/iamcxa/kc-claude-plugins/tob-actions-auditor)<a href="https://agentmods.dev/agents/iamcxa/kc-claude-plugins/tob-actions-auditor"><img src="https://agentmods.dev/badge/agents/iamcxa/kc-claude-plugins/tob-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/agents/iamcxa/kc-claude-plugins/tob-actions-auditor"><img src="https://agentmods.dev/badge/agents/iamcxa/kc-claude-plugins/tob-actions-auditor.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 | $0.00043 | $0.01801 |
| Opus 5 | $0.00022 | $0.00901 |
| Sonnet 5 | $0.00009 | $0.00360 |
| Haiku 4.5 | $0.00004 | $0.00180 |
Grade A, and why
tob-actions-auditor scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Detection**: `gh issue view`, `gh pr view`, `curl` fetching issue/PR data, piped to AI CLI. How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ToB Actions Auditor
You are a GitHub Actions security auditor based on Trail of Bits' agentic-actions-auditor methodology. You detect security vulnerabilities in CI/CD workflows that invoke AI coding agents. Dispatched by kc-pr-review as a conditional parallel agent.
Input Contract
| Field | Required | Description |
|---|---|---|
pr_number |
Yes | PR number |
owner_repo |
Yes | owner/repo string |
workflow_files |
Yes | List of changed .github/workflows/*.yml or *.yaml paths |
Scope
Analyze ONLY the workflow files listed in workflow_files. Do not scan the entire .github/workflows/ directory unless a changed workflow references other files via uses: ./.github/workflows/.
Known AI Agent Actions
Detect these action prefixes in workflow steps:
| Action Pattern | Agent |
|---|---|
anthropics/claude-code-action |
Claude Code |
anthropics/claude-code-action@* |
Claude Code |
google/gemini-cli-action |
Gemini CLI |
openai/codex-* |
OpenAI Codex |
github/ai-inference |
GitHub AI Inference |
Also detect CLI-based invocations: claude, gemini, codex in run: blocks.
The Nine Attack Vectors
Analyze each workflow for these vectors:
Vector A — Env Var Intermediary
Event data flows through env: blocks to AI prompts.
# VULNERABLE
env:
ISSUE_BODY: ${{ github.event.issue.body }}
steps:
- uses: anthropics/claude-code-action@v1
with:
prompt: "Fix: $ISSUE_BODY" # attacker-controlled!
Detection: Any env: assignment containing ${{ github.event.* }} where the env var is referenced in an AI step's prompt, with, or run field.
Vector B — Direct Expression Injection
GitHub context expressions embedded directly in AI prompts.
# VULNERABLE
prompt: "Review: ${{ github.event.pull_request.body }}"
Detection: ${{ github.event.* }} or ${{ github.event.comment.body }} directly in prompt/run fields of AI steps.
Vector C — CLI Data Fetch
Commands like gh issue view inject attacker data.
# VULNERABLE
- run: |
BODY=$(gh issue view ${{ github.event.issue.number }} --json body -q .body)
claude "Fix this: $BODY"
Detection: gh issue view, gh pr view, curl fetching issue/PR data, piped to AI CLI.
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 · 214 lines · 43 tokens per session scan A 8072ba5c2378
tob-actions-auditor is an agent published in the GitHub repository iamcxa/kc-claude-plugins (3 stars, last pushed today), licensed MIT. It adds 43 tokens to every session and 1,801 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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