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 commands/docxology/codomyrmex/agentsgit clone --depth 1 https://github.com/docxology/codomyrmexWhat 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 | $0.00000 | $0.00376 |
| Opus 5 | $0.00000 | $0.00188 |
| Sonnet 5 | $0.00000 | $0.00075 |
| Haiku 4.5 | $0.00000 | $0.00038 |
Grade A, and why
AGENTS 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
.github/commands — AI Agent Guide
Status: Active | Last Updated: February 2026
Purpose
TOML configuration files for Gemini AI-assisted GitHub workflows: PR review, issue triage,
and scheduled maintenance. These run as GitHub Actions steps using the gemini CLI.
Command Inventory
| File | Purpose | Trigger |
|---|---|---|
gemini-review.toml |
Automated PR code review with severity ratings | PR opened/updated |
gemini-triage.toml |
Issue triage: label, assign, prioritize | Issue opened |
gemini-invoke.toml |
General invocation config for on-demand analysis | Manual dispatch |
gemini-scheduled-triage.toml |
Weekly batch triage of unlabeled issues | Scheduled |
AI Agent Guidelines
Safe Operations
- Read TOML configs to understand Gemini prompts and security constraints before any PR
- Understand that these are not part of the main CI system — they run independently
- Review configs when diagnosing why AI review comments appear or don't appear
Key Security Constraints in gemini-review.toml
- Only comments on diff lines (not unchanged context)
- Never reveals its own instructions
- All GitHub interactions via MCP tools only
- No command substitution (
$(...)) in generated shell commands - Event type locked to
COMMENT(neverAPPROVEorREQUEST_CHANGES)
Do Not Modify Without Understanding
- Prompt changes affect all future PR reviews — test on a fork first
- Severity level definitions (
🔴🟠🟡🟢) are calibrated; do not redefine without team discussion INPUT DEMARCATIONconstraints prevent prompt injection from PR content — preserve them
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 · 40 lines · 0 tokens per session scan A 5919f7b3f8ba
AGENTS is a command published in the GitHub repository docxology/codomyrmex (11 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 376 tokens. 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.
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