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/angad816/gitpilot-mcp---ai-powered-github-tool-context-layer/claude-mdgit clone --depth 1 https://github.com/Angad816/GITPILOT-MCP---AI-POWERED-GITHUB-TOOL-CONTEXT-LAYERWrote 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/instructions/angad816/gitpilot-mcp---ai-powered-github-tool-context-layer/claude-md)<a href="https://agentmods.dev/instructions/angad816/gitpilot-mcp---ai-powered-github-tool-context-layer/claude-md"><img src="https://agentmods.dev/badge/instructions/angad816/gitpilot-mcp---ai-powered-github-tool-context-layer/claude-md.svg" alt="Measured on agentmods" 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 | $0.00673 | $0.00673 |
| Opus 5 | $0.00336 | $0.00336 |
| Sonnet 5 | $0.00135 | $0.00135 |
| Haiku 4.5 | $0.00067 | $0.00067 |
Grade A, and why
GITPILOT-MCP---AI-POWERED-GITHUB-TOOL-CONTEXT-LAYER CLAUDE.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 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitPilot — Instructions for Claude Code
GitPilot is a stateful AI engineering control plane for GitHub. Full architecture
lives in docs/ARCHITECTURE.md and the connection/brain/
guided-fix pipeline in docs/BRAIN.md — read those before making
structural changes. Don't restate their content here; this file is about how to
work in this repo, not what it does.
Source of truth
- Code correctness: the code itself and
python -m pytest -q, never a doc. - Architecture:
docs/ARCHITECTURE.md,docs/BRAIN.md. - Extension boundary:
services/contracts.py— any new tracker, code host, memory backend, or AI provider implements these Protocols; don't bypass them. - Fix-run state machine:
services/memory_service.py'sRUN_TRANSITIONS. Don't invent new run states outside it.
Where solved issues and patterns go
This repo has a real, durable memory system — don't create parallel markdown "brain files" for bug patterns, API quirks, or RCA notes. Use the existing tools:
memory_remember(repository, kind, title, content, tags)— store a solved pattern, gotcha, or root cause once it's confirmed (kind="pattern"orkind="gotcha").memory_recall(repository, query)— check before re-diagnosing something that may already be solved.
This keeps knowledge scoped per-repository, queryable, and auditable in
run_events instead of scattered across static files that go stale.
RCA discipline before proposing a fix
memory_recallfirst — has this repository seen this before?code_search_repositoryfor the actual current field/route/symbol name — never assume a name from a doc or prior session; docs and memory can be stale.- Confirm the failure is reproducible (test or explicit repro steps), not a one-off hallucinated symptom.
- Only then propose a patch, and keep it to the smallest verifiable change.
- After verification succeeds,
memory_rememberthe root cause + fix — not the whole diff, just what a future session needs to avoid re-diagnosing it.
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 · 60 lines · 673 tokens per session scan A fe84464d3f58
GITPILOT-MCP---AI-POWERED-GITHUB-TOOL-CONTEXT-LAYER CLAUDE.md is an instructions file published in the GitHub repository Angad816/GITPILOT-MCP---AI-POWERED-GITHUB-TOOL-CONTEXT-LAYER (0 stars, last pushed 15d ago), licensed MIT. It adds 673 tokens to every session, about $0.0034 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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