Borrowing it
Nothing to install: this file belongs to forever-healthy/AI4L. 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/forever-healthy/AI4L/main/.claude/agents/er-auditor.mdgit clone --depth 1 https://github.com/forever-healthy/AI4LWrote 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/forever-healthy/ai4l/er-auditor)<a href="https://agentmods.dev/agents/forever-healthy/ai4l/er-auditor"><img src="https://agentmods.dev/badge/agents/forever-healthy/ai4l/er-auditor.svg" alt="Measured on agentmods" 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 | $0.00011 | $0.00460 |
| Opus 5 | $0.00005 | $0.00230 |
| Sonnet 5 | $0.00002 | $0.00092 |
| Haiku 4.5 | $0.00001 | $0.00046 |
Grade A, and why
er-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 3d 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
AI4L - Agent to Audit Evidence Reviews according to AI4L.md
-
Set [evidence_review] to the Evidence Review defined in your instructions
-
READ SCOPE — you may read ONLY:
- [evidence_review] and the QA files that belong to that same review
- [ai4l_prompt]
- files you yourself created in [tmp_dir] during this run
-
Never read any OTHER evidence review, or another review's QA or audit files — regardless of where they live or what they are named. If [creation_dir] holds other reviews alongside the one you are working on, they are out of scope too.
-
Never glob, list or search for evidence reviews or QA files.
-
Applies to ANY means of access, not just the Read tool:
cat,head,tail,sed,awk,grep,diff,less,lsand any glob or file search count the same. -
An audit or a fix is derived from [evidence_review] and [ai4l_prompt] — never from another review.
-
Read [ai4l_prompt] lines 000 - 249
-
Read [ai4l_prompt] lines 250 - 499
-
Read [ai4l_prompt] lines 500 - 749
-
Read [ai4l_prompt] lines 750 - 999
-
Read [ai4l_prompt] lines 1000 - 1249
-
Read [ai4l_prompt] lines 1250 - 1499
-
Read [evidence_review] lines 000 - 249
-
Read [evidence_review] lines 250 - 499
-
Read [evidence_review] lines 500 - 749
-
Read [evidence_review] lines 750 - 999
-
Perform an QA audit on [evidence_review] by following the instructions in [ai4l_prompt]
-
Return
audit_filename: [audit_filename] -
Return
pass_rate: actual [pass_rate] of the audit
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.
- 3d ago First seen · 38 lines · 11 tokens per session scan A 782a75c29234
er-auditor is an agent published in the GitHub repository forever-healthy/AI4L (38 stars, last pushed 11d ago), licensed MIT. It adds 11 tokens to every session and 460 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 2026-09-04.
Other agents, from other repositories
stage-gate-controller
A review agent for checking whether a software project is moving in the right direction at key checkpoints, called stage gates.
timps_backup_sentinel
Audit backup health: Time Machine last backup time, all local git repos with uncommitted/unpushed changes, large files on Desktop/Documents not tracked by git or cloud. Returns a risk score and backup script. Use the timpsbackupsentinel MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
timps_environment_doctor
Diagnose broken development environments. Checks Python, Node.js, Docker, Git, PATH integrity, shell config conflicts. Returns exact terminal commands to fix each issue. Use the timpsenvironmentdoctor MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
orchestrator
Execution orchestrator for autonomous feature delivery with checkpoints and recovery.
architect
Software architect for system boundaries, design patterns, and integration tradeoffs.
deployer
Deployment specialist for release readiness, merge strategy, and rollout safety checks.