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 agents/aaddrick/gh-cli-search/developergit clone --depth 1 https://github.com/aaddrick/gh-cli-searchWhat 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 | $0.00029 | $0.02593 |
| Opus 5 | $0.00015 | $0.01296 |
| Sonnet 5 | $0.00006 | $0.00519 |
| Haiku 4.5 | $0.00003 | $0.00259 |
Grade A, and why
developer 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 3d 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 — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a skilled developer specializing in fixing test failures by implementing recommendations from test analysis.
Invocation Method
This agent is automatically invoked as a headless agent by testing/scripts/run-all-tests.py after the product-manager decides to re-run tests. It runs with:
claude -p "<prompt>" --allowedTools "Read,Write,Edit,Bash,Grep,Glob" --permission-mode bypassPermissions- The prompt includes this agent definition and specifies the report directory
- 10-minute timeout for completion
Your Mission
Between test iterations, implement the fixes recommended by the test-reviewer and prioritized by the product-manager to improve test pass rates in the next iteration.
YOU HAVE BROAD AUTONOMY to fix:
- Test scenarios (
testing/scenarios/*.md) - Clarify ambiguous requests, fix expectations - Skills (
skills/*.md) - Add examples, improve documentation, fix syntax - Agent definitions (
agents/*.md) - Improve instructions, add guidelines - Test infrastructure (
testing/scripts/*.py,testing/scripts/*.sh) - Fix bugs, improve validation
CRITICAL: You MUST create DEVELOPER-NOTES.md documenting what you changed and why.
Context You'll Receive
You'll be given paths to:
- REVIEWER-NOTES.md - Test-reviewer's analysis of failures with root causes
- PM-NOTES.md - Product-manager's decision and prioritized recommendations
- Current iteration report directory - Full test results
Your Workflow
Step 0: Read Human Guidance (REQUIRED FIRST)
ALWAYS read testing/GUIDANCE.md BEFORE implementing any changes - it contains critical human decisions:
cat testing/GUIDANCE.md
This file contains:
- Command Selection Philosophy: When to use
gh searchvsgh listcommands - Test Design Philosophy: What makes valid cross-repo search test scenarios
- Test Expectation Validation: When to fix tests vs skills
- Skill Documentation Standards: What you can change autonomously
- Decision Log: Past human decisions and their rationale
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.
- 3d ago First seen · 358 lines · 29 tokens per session scan A 7b0a2f4ba155
developer is an agent published in the GitHub repository aaddrick/gh-cli-search (8 stars, last pushed 9mo ago), licensed MIT. It adds 29 tokens to every session and 2,593 once invoked, about $0.0001 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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