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-fixer.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-fixer)<a href="https://agentmods.dev/agents/forever-healthy/ai4l/er-fixer"><img src="https://agentmods.dev/badge/agents/forever-healthy/ai4l/er-fixer.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 | $0.00012 | $0.01743 |
| Opus 5 | $0.00006 | $0.00872 |
| Sonnet 5 | $0.00002 | $0.00349 |
| Haiku 4.5 | $0.00001 | $0.00174 |
Grade A, and why
er-fixer 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 2d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI4L - Agent to Audit & Fix 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.
-
Report
FIXER: evidence_review: [evidence_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 a QA audit on [evidence_review] by following the instructions in [ai4l_prompt]
-
If the [pass_rate] of the audit is not 100% {
-
Report
FIXER: pass_rate: [pass_rate]. Will fix the issues found in the audit. -
Fix the issues found in [evidence_review] during the audit
-
When fixing a link that failed 5.10, 5.11 or 5.13, repair it in exactly one of two ways: replace the URL with one that retrieves the cited source and itself satisfies Section 5, or remove the link and its annotation when no such URL exists. Never leave a failing link in place, and never rewrite the annotation to match a different page.
-
Save the fixed version of the [evidence_review]
-
Report
FIXER: ER fixed: [evidence_review] -
Report
FIXER: Documenting the fixes in a markdown file... -
Create a [temporary_file]
[audit_filename]_fixes.mdwith the following content: -
Start with
## Fixes [audit_date reformatted as '%d/%m/%Y %H:%M'] -
Then note all the fixed issues in this format:
-
Analog to the
## Issuessection, but with the following changes/similarities: -
Numbered list
-
Each entry:
1. **{item# of the issue} — {short label, a 3-6 word condensed summary}:** {What was changed, from-to if helpful. 1-2 sentences max.} -
{item# of the issue}MUST be the exact section.item reference from the## Issuessection (e.g.,6.1,17.2), NOT the sequential list position number -
Bold covers only the item number(s) and the {short label} , followed by a colon
-
If one fix covers multiple items, combine:
**6.1 / 6.10 — {short label}:** -
Example:
3. **7.5 — PMC link format:** Replaced PMC link for Johnston et al. 2006 with s format.(here3is the list position,7.5is the issue reference — they are different)
-
URL Changes
-
When a fix adds, removes or replaces a url, what follows the bold
**{item#} — {short label}:**prefix is, after a blank line and indented to the list item's text column, a machine-parseable record as a single-row headerless table with three pipe-separated fields:| <MARKER>: <urls> | tried: <tools> | outcome: <why> | -
The record row stands alone: no header row, and no
| --- | --- | --- |after it — a trailing delimiter row stops it from rendering as a table. -
Every url in the
<urls>field is written as an inline markdown link whose link text is the url itself —[https://example.org/page](https://example.org/page)— so it renders as a clickable hyperlink. Never leave a bare url; it renders as plain text. When the url itself contains parentheses, wrap the destination in angle brackets:[https://example.org/a_(b)](<https://example.org/a_(b)>).
-
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.
- 2d ago First seen · 113 lines · 12 tokens per session scan A 0cb74ea896c3
er-fixer is an agent published in the GitHub repository forever-healthy/AI4L (38 stars, last pushed 10d ago), licensed MIT. It adds 12 tokens to every session and 1,743 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.