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/madhurr/agit/agents-mdgit clone --depth 1 https://github.com/Madhurr/agitWhat 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 | $0.00719 | $0.00719 |
| Opus 5 | $0.00360 | $0.00360 |
| Sonnet 5 | $0.00144 | $0.00144 |
| Haiku 4.5 | $0.00072 | $0.00072 |
Grade A, and why
agit 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.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This repo uses agit. Use agit commit instead of git commit.
Setup
go install github.com/Madhurr/[email protected]
agit init
How to commit
agit commit \
-m "feat: add rate limiting" \
--intent "..." \
--confidence 0.85 \
--tried "approach: reason" \
--risk "severity:area:description" \
--unknowns "..." \
--ripple "..."
What to write in each field
--intent — why you made this change, not what it does. The commit message says what. Intent says why.
- ❌
"implement rate limiting middleware" - ✅
"protect the API from abuse without adding a Redis dependency"
--confidence — how sure you are the implementation is correct. Be honest.
0.95+only if you've tested it and there are no known gaps0.70–0.85for most changes: logic is sound but edge cases exist< 0.70if you're making assumptions or skipping something important- Do not default to 0.9 every time. Calibrate it.
--confidence-rationale — one sentence on why you gave that score. What did you verify? What didn't you test?
"core path tested, token refresh not covered""logic is straightforward but not benchmarked under load"
--tried — other approaches you considered and rejected. Format: "approach: why rejected".
"session cookies: needs shared store, won't work across pods""Redis rate limiter: adds infra dependency we don't have"- Only include things you actually considered. Don't fabricate alternatives.
--risk — what could go wrong. Format: "severity:area:description". Severity: low, medium, high.
"high:data-loss:rollback deletes rows, no soft delete""medium:performance:N+1 query on user lookup, not optimized yet""low:ux:error message is generic, could be more specific"- Flag real risks. Don't write
"low:none:no risks".
--unknowns — things you weren't sure about and didn't resolve.
"token revocation strategy not decided""unclear if this needs to be idempotent""haven't checked behavior when user has no permissions"- This is not a weakness. It's useful information.
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 · 80 lines · 719 tokens per session scan A 3dca91cd1179
agit AGENTS.md is an instructions file published in the GitHub repository Madhurr/agit (5 stars, last pushed 5mo ago), licensed MIT. It adds 719 tokens to every session, about $0.0036 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.
Other instructions, from other repositories
ruler AGENTS.md
Instructions for intellectronica/ruler, covering ruler, development process, testing, code formatting and branches and pull requests.
flt CLAUDE.md
Instructions for twaldin/flt, covering flt, the soul of the project: primitives, not a monolith, architecture, repo map and conventions.
flt AGENTS.md
Instructions for twaldin/flt, a project described as: cli-first harness agnostic agent orchestration tool.
AutoAgents AGENTS.md
Instructions for liquidos-ai/AutoAgents, covering autoagents repository guidelines, project structure & module organization, code quality, naming conventions and error handling.
claude-code-karma CLAUDE.md
Instructions for JayantDevkar/claude-code-karma, covering claude.md, project overview, quick start, clone (no submodule init needed — this is a monorepo) and start api (terminal 1).
ken CLAUDE.md
Instructions for townsendmerino/ken, covering claude.md, what this is, repository ownership (read this first), commands and embedding parity & golden fixtures (now in aikit).