AI4L: Skill for Claude Code

.claude/skills/er/SKILL.md

er is a skill for Claude Code from forever-healthy/AI4L. It costs 19 tokens per session (1,083 once invoked), scanned A, original, MIT.

A tool for creating and checking evidence reviews, which are written summaries that assess research findings on a topic. It saves generated files in a chosen folder and uses separate agents for creation and auditing.

In plain words
What is it for?
Use it to create an evidence review about a topic or audit an existing review file.
Why use it?
It gives a defined process for producing a review and then checking it, while limiting changes to the specified output folder.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

This is forever-healthy/AI4L's own configuration. It tells Claude Code how to work on AI4L itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AI4L configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/forever-healthy/AI4L/main/.claude/skills/er/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/forever-healthy/AI4L

Made for: Claude Code.

Wrote 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.

agentmods badge for er

README.md
[![agentmods](https://agentmods.dev/badge/skills/forever-healthy/ai4l/er.svg)](https://agentmods.dev/skills/forever-healthy/ai4l/er)
Your own site
<a href="https://agentmods.dev/skills/forever-healthy/ai4l/er"><img src="https://agentmods.dev/badge/skills/forever-healthy/ai4l/er.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,083 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.01083
Opus 5 $0.00010 $0.00541
Sonnet 5 $0.00004 $0.00217
Haiku 4.5 $0.00002 $0.00108

Measured 3d ago against content hash 8f82f1dca2bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

er 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.

.claude/skills/er/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI4L - Main Skill for Evidence Review Creation and Auditing using @AGENTS

General Rules

  • Parse the user's input to determine which sub-command to execute

  • Set [args] to $ARGUMENTS

  • Note the [start_time] when beginning any command, and report the [time_taken] when done

  • All generated results go in [creation_dir] as .md files

  • Do not edit or modify any files outside [creation_dir]

  • Full lines formatted as line comments must be ignored when processing commands.

COMMAND: create {topic}

Create an evidence review (ER) using the @er-creator agent.

  • If no [args] are given {

    • Report: usage: /er create {topic}
    • exit } otherwise { set [topic] to [args] }
  • Report: create: [topic]

  • @er-creator: [topic]

  • Wait until the agent finishes

  • Report: filename: [filename]

COMMAND: audit {er}

Audit an ER using the @er-auditor agent.

  • If no [args] are given {

    • Set [target_er] to the newest ER in [creation_dir] } else {
    • Set [target_er] to [args] }
  • Report: audit: [target_er]

  • @er-auditor: [target_er]

  • Wait until the agent finishes and returns the result

  • Report: target_er: [target_er]

  • Report: pass_rate: [pass_rate]

COMMAND: fix {er}

Audit and fix an ER using the @er-fixer agent.

  • If no [args] are given {

    • Set [target_er] to the newest ER in [creation_dir] } else {
    • Set [target_er] to [args] }
  • Report: fix: [target_er]

  • @er-fixer: [target_er]

  • Wait until the agent finishes and returns the result

  • Report: target_er: [target_er]

  • Report: pass_rate: [pass_rate]

COMMAND: combine {er}

Create a final QA file from all audits

  • If no [args] are given {

    • Set [target_er] to the newest ER in [creation_dir] } else {
    • Set [target_er] to [args] }
  • Report: combine: [target_er]

  • @er-combiner: [target_er]

  • Wait until the agent finishes and returns the result

  • Report QA file: [new_qa_filename]

COMMAND: iterate {er}

Loops audit/fix cycles up to [max_audits] times until [needed_passes] show 100% pass rate.

Read the full file on GitHub · 161 lines

Changes

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.

  1. 3d ago First seen · 161 lines · 19 tokens per session scan A 8f82f1dca2bf

Subscribe to this mod's changes

er is a skill published in the GitHub repository forever-healthy/AI4L (38 stars, last pushed 11d ago), licensed MIT. It adds 19 tokens to every session and 1,083 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.

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