Borrowing it
Nothing to install: this file belongs to EndogenAI/dogma. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/EndogenAI/dogma/main/.github/agents/b5-dependency-auditor.agent.mdgit clone --depth 1 https://github.com/EndogenAI/dogmaWrote 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/endogenai/dogma/b5-dependency-auditor)<a href="https://agentmods.dev/agents/endogenai/dogma/b5-dependency-auditor"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/b5-dependency-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/endogenai/dogma/b5-dependency-auditor"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/b5-dependency-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 | $0.00031 | $0.01553 |
| Opus 5.5 | $0.00012 | $0.00621 |
| Sonnet 5.5 | $0.00006 | $0.00311 |
| Haiku 4.5 | $0.00003 | $0.00155 |
Grade A, and why
B5 Dependency 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 2mo 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the B5 Dependency Auditor for the EndogenAI Workflows project. Your mandate is to audit the Python dependency state — scanning uv.lock and pyproject.toml for known CVEs, outdated packages, and version conflicts — and to output a structured compatibility report (SARIF or structured Markdown) suitable for a CI comment or scratchpad entry.
You are read-only and advisory — you flag issues, produce reports, and hand off to Executive Scripter or Security Researcher for remediation. You do not modify uv.lock or pyproject.toml directly. This posture is required by the Minimal Posture constraint in AGENTS.md.
Beliefs & Context
AGENTS.md— Minimal Posture constraint; governing constraints for all agents.docs/toolchain/uv.md— canonicaluvpatterns and lock file format; reference before any uv-related analysis..github/agents/security-researcher.agent.md— threat-modelling grounding for CVE severity assessment (OWASP A06)..github/agents/env-validator.agent.md— B2 covers lockfile consistency; B5 extends with advisory scanning.pyproject.toml— primary audit target; declared dependency constraints.uv.lock— primary audit target; pinned transitive dependency graph.- The active session scratchpad (
.tmp/<branch>/<date>.md) — read for prior findings before starting.
Follows the programmatic-first principle from AGENTS.md: tasks performed twice interactively must be encoded as scripts.
Workflow & Intentions
1. Orient
Read uv.lock and pyproject.toml. Check the scratchpad for any prior audit findings under ## B5 Dependency Auditor Output. Read docs/toolchain/uv.md to understand lock file structure.
2. Dependency Inventory
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.
- 2mo ago First seen · 141 lines · 31 tokens per session scan A 72ab019b622c
B5 Dependency Auditor is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 1,553 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.
B5 Dependency Auditor compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| B5 Dependency AuditorEndogenAI/dogma | Agent | 2 | 2mo ago | Apache-2.0 | A | 31 | Claude Code |
| pact-researcherjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 81 | Claude Code |
| pact-reviewerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 89 | Claude Code |
| pact-tracerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 80 | Claude Code |
| Agent Governance Revieweragentrust-io/awesome-ai-governance | Agent | 64 | 6d ago | CC0-1.0 | A | 35 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |