Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AKSoftCode/aicrew --skill leangit clone --depth 1 https://github.com/AKSoftCode/aicrewWrote 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/aksoftcode/aicrew/lean)<a href="https://agentmods.dev/skills/aksoftcode/aicrew/lean"><img src="https://agentmods.dev/badge/skills/aksoftcode/aicrew/lean/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/aksoftcode/aicrew/lean"><img src="https://agentmods.dev/badge/skills/aksoftcode/aicrew/lean.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 | $0.00035 | $0.00374 |
| Opus 5.5 | $0.00014 | $0.00150 |
| Sonnet 5.5 | $0.00007 | $0.00075 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
lean 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 1mo 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
Caveman is default. This skill only matters if you switched to verbose with
/normalor/lean off.
Lean (Codex)
Default for all aicrew Codex skills. Not opt-in.
Applies caveman output (~/Agents/agents/caveman.md) and context-economy reads (~/Agents/agents/context-economy.md) on every session unless the user disables with /normal or /lean off.
What lean mode does
- Keep answers terse and structured.
- Use diff/tree/search before reading full files.
- Prefer targeted slices over whole-file reads.
- Reuse prior summaries unless files changed.
- Keep correctness and safety constraints intact.
Session controls
/lean on— explicit boost or re-enable after disable/normalor/lean off— verbose output and relaxed read policy
Safety and fidelity rules
- Never drop constraints, invariants, acceptance criteria, or required warnings.
- Keep technical strings verbatim: code, commands, paths, flags, URLs, errors, versions.
- Interactive checkpoints: still pause and wait — never skip or fabricate answers.
- If uncertain, ask one short clarifying question or state one explicit assumption.
Evidence footer (only when relevant)
When proposing changes, debugging, or reporting tests, include:
- Tests: ran / not run
- Assumptions: critical only
- Risks: 1-3 bullets
Session resilience
When /session context is available, keep checkpoint updates in:
.ai/state/AI_STATE.<tool>.<session>.md
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 45 lines · 35 tokens per session scan A c6840e8c10f1
lean is a skill published in the GitHub repository AKSoftCode/aicrew (3 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 374 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.
Other skills, from other repositories
cutweight
The dial for an agent's token weight. Use when asked to cut tokens, be brief, cap thinking, or go light; when reply or reasoning tokens dominate the bill; when someone says word-diet, think-light, corner mode, or fewer tokens; or when a fact may have changed and needs a live check before a confident answer.
cutweight-cut
Session-weight hygiene. Use when sessions run long, when an agent gets slower or starts forgetting mid-session, when deciding between /clear, /compact, or a fresh session, or when every message feels heavier than the work in it. Calls the moment a session has blown the weight limit: cut it right and start the next one…
peon-ping-toggle
Toggle peon-ping sound notifications on/off. Use when user wants to mute, unmute, pause, or resume peon sounds during a Claude Code session. Also handles config changes like volume, pack rotation, categories — any peon-ping setting.
peon-ping-log
Log exercise reps for the Peon Trainer. Use when user says they did pushups, squats, or wants to log reps. Examples - "/peon-ping-log 25 pushups", "/peon-ping-log 30 squats", "log 50 pushups".
getting-started
Interactive post-onboarding tour that adapts to whatever data exists (calendar, Granola, or none). Use right after onboarding, or when the user says 'show me around', 'how do I start'. Also use proactively when the vault is < 7 days old. Not for the initial setup itself; use setup.
resume-builder
Build resume and LinkedIn profile through guided interview.