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 agentmods add instructions/webioinfo01/aweskill/agents-mdgit clone --depth 1 https://github.com/Webioinfo01/aweskillWhat 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 | $0.00157 | $0.00157 |
| Opus 5 | $0.00078 | $0.00078 |
| Sonnet 5 | $0.00031 | $0.00031 |
| Haiku 4.5 | $0.00016 | $0.00016 |
Grade A, and why
aweskill AGENTS.md 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- aweskill CLAUDE.md — 100% identical, 0 lines differ
What it actually says
Engineering Taste
Prefer solutions that are simple, clear, decoupled, honest, focused, and durable.
- Simple: make the smallest change that solves the real problem.
- Clear: optimize for the next reader, not for cleverness.
- Decoupled: keep boundaries clean, but do not add abstractions without a real need.
- Honest: make complexity, state, side effects, assumptions, and failure modes visible; do not hide complexity or create extra complexity.
- Focused: preserve boundaries between modules, and keep top-level convenience commands minimal.
- Durable: choose behavior that is easy to maintain, test, and extend.
- First principles: identify the real problem, hard constraints, and known facts before reaching for patterns, abstractions, or prior solutions.
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 · 11 lines · 157 tokens per session scan A 5f1f5569f9ef
aweskill AGENTS.md is an instructions file published in the GitHub repository Webioinfo01/aweskill (34 stars, last pushed 6d ago), licensed MPL-2.0. It adds 157 tokens to every session, about $0.0008 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 2026-08-30.
Other instructions, from other repositories
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