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/skills/er/SKILL.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/skills/forever-healthy/ai4l/er)<a href="https://agentmods.dev/skills/forever-healthy/ai4l/er"><img src="https://agentmods.dev/badge/skills/forever-healthy/ai4l/er/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/skills/forever-healthy/ai4l/er"><img src="https://agentmods.dev/badge/skills/forever-healthy/ai4l/er.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.01308 |
| Opus 5.5 | $0.00008 | $0.00523 |
| Sonnet 5.5 | $0.00004 | $0.00262 |
| Haiku 4.5 | $0.00002 | $0.00131 |
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 12d 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 — 165 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
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Parse the user's input to determine which sub-command to execute
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Set [args] to $ARGUMENTS
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Note the [start_time] when beginning any command, and report the [time_taken] when done
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All generated results go in [creation_dir] as .md files
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Do not edit or modify any files outside [creation_dir]
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Full lines formatted as
linecomments must be ignored when processing commands.
Resolving the target ER
- If no [args] are given, set [target_er] to the newest _ER.md file in [creation_dir]
- Otherwise, if [args] names an existing _ER.md file in [creation_dir] (with or without the directory), set [target_er] to that file's bare filename, without any directory
- Otherwise treat [args] as an intervention: list the _ER.md files in [creation_dir] whose filename starts with [args] converted the way 6.25 of [er_prompt] converts short_topic (lowercase, spaces and dashes to underscores, other characters removed), and set [target_er] to the newest of them by the date in the filename
- If nothing matches, report
No ER found for: [args]and exit
COMMAND: create {topic}
Create an evidence review (ER) using the @er-creator agent.
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If no [args] are given {
- Report:
usage: /er create {topic} - exit } otherwise { set [topic] to [args] }
- Report:
-
Report:
create: [topic] -
@er-creator:
[topic] -
Wait until the agent finishes
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Report:
filename: [filename]
COMMAND: audit {er}
Audit an ER using the @er-auditor agent.
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Resolve [target_er] from [args] (see "Resolving the target ER")
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Report:
audit: [target_er] -
@er-auditor:
[target_er] -
Wait until the agent finishes and returns the result
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Report:
target_er: [target_er] -
Report:
pass_rate: [pass_rate] -
Report:
audit_filename: [audit_filename]
COMMAND: fix {er}
Audit and fix an ER using the @er-fixer agent.
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Resolve [target_er] from [args] (see "Resolving the target ER")
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Report:
fix: [target_er]
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.
- 12d ago Changed · +2 lines c9a6b492114c
- 14d ago Changed · +2 lines f9409de34723
- 1mo ago Changed 5b2d71005b8f
- 1mo ago Changed c5024a1d142d
- 1mo ago Changed 09907c7c930c
- 1mo ago Changed ae55c33e4a5d
- 1mo ago Changed 39a3cdad6ceb
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- 1mo ago Changed b7568607aafc
- 2mo ago First seen · 161 lines · 19 tokens per session scan A 8f82f1dca2bf
er is a skill published in the GitHub repository forever-healthy/AI4L (43 stars, last pushed 10d ago), licensed MIT. It adds 19 tokens to every session and 1,308 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 2026-09-04.
er compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| erforever-healthy/AI4L | Skill | 43 | 10d ago | MIT | A | 19 | Claude Code |
| healthbroomva/skills | Skill | 5 | 5d ago | MIT | A | 86 | Claude Code, Codex |
| longevity-protocolSkillMedev/health-and-longevity | Skill | 1 | 1mo ago | MIT | A | 158 | Claude Code, Codex |
| mobility-routineSkillMedev/health-and-longevity | Skill | 1 | 1mo ago | MIT | A | 137 | Claude Code, Codex |
| nutrition-plannerSkillMedev/health-and-longevity | Skill | 1 | 1mo ago | MIT | A | 152 | Claude Code, Codex |
| sleep-optimizerSkillMedev/health-and-longevity | Skill | 1 | 1mo ago | MIT | A | 154 | Claude Code, Codex |
| zone-2-cardio-planSkillMedev/health-and-longevity | Skill | 1 | 1mo ago | MIT | A | 126 | Claude Code, Codex |