Borrowing it
Nothing to install: this file belongs to giggsoinc/raven. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/giggsoinc/raven/main/CLAUDE.mdgit clone --depth 1 https://github.com/giggsoinc/ravenWrote 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/giggsoinc/raven/claude-md)<a href="https://agentmods.dev/instructions/giggsoinc/raven/claude-md"><img src="https://agentmods.dev/badge/instructions/giggsoinc/raven/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/giggsoinc/raven/claude-md"><img src="https://agentmods.dev/badge/instructions/giggsoinc/raven/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.03502 | $0.03502 |
| Opus 5.5 | $0.01401 | $0.01401 |
| Sonnet 5.5 | $0.00700 | $0.00700 |
| Haiku 4.5 | $0.00350 | $0.00350 |
Grade A, and why
raven CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — Raven Discipline Engine v6.1
This file is the contract. Claude reads this on every turn. The rules below are not aspirational — they are how Claude must behave in this project.
First load (memory)
Same UX every IDE: (1) python3 scripts/ops/raven-first.py --boot (fallback: "${CLAUDE_PLUGIN_ROOT}/scripts/ops/raven-first.py" --boot) — rebuild once; (2) if load=1, Read only memory=; (3) python3 scripts/ops/raven-first.py --session-start and print the banner. If they say raven dashboard, run ide-boot.py --open. Honor educate=guided|off. Do not dump OKF at boot.
Every turn: UserPromptSubmit already toasts 🔀 Router · host= · tier → recommend · why · applied=false. Repeat that line if the hook is missing. Never silent routing. Non-Claude hosts: run python3 scripts/ops/raven-first.py --prompt "…" (fallback: python3 "${CLAUDE_PLUGIN_ROOT}/scripts/ops/raven-first.py" --prompt "…") before any other tool.
🛑 PER-TURN DISCIPLINE CONTRACT — Read This First, Every Turn
These steps run on every user message, before generating any response, file read, Bash command, or tool call.
Step 0 — Model toast (before Andie, before tools)
First two lines of every reply, before any work:
🔀 Router · host=… · TIER → recommend … · why: … · applied=…
💰 total-cost=$… last_turn=$… est=$…
session=<the model writing this>
Claude UserPromptSubmit injects 🔀 and 💰 — still repeat Intent: and session= in the reply. The toaster is not a skip. git log / git status / “what shipped” is not outside the router.
Step 0.5 — Intent (plan / debug / direct)
Third line, before tools, exactly one of:
Intent: plan — {why}
Intent: debug — {why}
Intent: direct — {why}
| Intent | When | Then |
|---|---|---|
| plan | Architecture, design, strategy, tradeoff, new feature shape | Andie / raven-plan. Do not free-style a design. |
| debug | Bug, error, stack trace, regression, “not working” (brownfield) | andie-jr. Do not diagnose ad hoc. |
| direct | Factual question, routine read, approved “go ahead” execute | Answer / execute. Still print 🔀 + session=. Still Andie one-liner. |
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.
- 12d ago Changed b3d5f1a269c9
- 14d ago Changed · -4 tokens per session ccb393f80f35
- 2mo ago First seen · 308 lines · 3,506 tokens per session scan A 8dd89ea89a44
raven CLAUDE.md is an instructions file published in the GitHub repository giggsoinc/raven (5 stars, last pushed 13d ago), licensed MIT. It adds 3,502 tokens to every session, about $0.0140 per session on Opus 5.5. 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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