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/chefallan/awesome-context-engine/gemini-mdgit clone --depth 1 https://github.com/chefallan/awesome-context-engineWhat 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 | $0.00091 | $0.00091 |
| Opus 5 | $0.00046 | $0.00046 |
| Sonnet 5 | $0.00018 | $0.00018 |
| Haiku 4.5 | $0.00009 | $0.00009 |
Grade A, and why
awesome-context-engine GEMINI.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.
What it actually says
Gemini CLI Instructions
- Read .awesome-context/ai-context.md first.
- Use .awesome-context/project-map.md and .awesome-context/workflows.md.
- Preserve preferences from .awesome-context/preferences.md.
- After each completed prompt result that changed files, run awesome-context-engine sync to refresh context.
- Suggest updates to .awesome-context/memory.md after meaningful changes.
- Never store secrets, tokens, credentials, or private keys in memory files.
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 · 9 lines · 91 tokens per session scan A 8a1a02055005
awesome-context-engine GEMINI.md is an instructions file published in the GitHub repository chefallan/awesome-context-engine (2 stars, last pushed 4mo ago), licensed MIT. It adds 91 tokens to every session, about $0.0005 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 2026-08-31.
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