Borrowing it
Nothing to install: this file belongs to FuZhiyu/superRA. 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/FuZhiyu/superRA/main/CLAUDE.mdgit clone --depth 1 https://github.com/FuZhiyu/superRAWrote 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/fuzhiyu/superra/claude-md)<a href="https://agentmods.dev/instructions/fuzhiyu/superra/claude-md"><img src="https://agentmods.dev/badge/instructions/fuzhiyu/superra/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/fuzhiyu/superra/claude-md"><img src="https://agentmods.dev/badge/instructions/fuzhiyu/superra/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 | $0.02336 | $0.02336 |
| Opus 5.5 | $0.00934 | $0.00934 |
| Sonnet 5.5 | $0.00467 | $0.00467 |
| Haiku 4.5 | $0.00234 | $0.00234 |
Grade A, and why
superRA 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
superRA — Contributor Guidelines
How contributors keep superRA's skills, hooks, harness adapters, and internal docs coherent. README.md owns the user-facing product model; read it first and keep that explanation there.
Contributor Discipline
- Treat skill edits as skill creation. Load
skill-creatorbefore editing anyskills/*/SKILL.md; load the relevant superRA workflow skills before changing workflow behavior. - Change one concern at a time. One design, workflow, or harness concern per commit.
- Describe the problem. Commit messages and PR notes say what was broken, duplicated, rigid, or unclear.
- Verify behavior, not just prose. For a skill or workflow change, run at least one realistic harness session or script-level check that exercises the changed path.
Developing Locally
Run the task-tree CLI from live source; each entry script carries a PEP 723 dependency block, so edits apply on the next run:
uv run --script skills/task-tree/scripts/cli.py task frontier
uv run --script skills/task-tree/scripts/plan_dashboard.py dashboard
uv run --with pytest --with pyyaml --with fastapi --with jinja2 --with 'uvicorn[standard]' --with watchfiles --with httpx python -m pytest skills/task-tree/scripts
- uv-free fallback:
python3 skills/task-tree/scripts/cli.py …— the core is stdlib-only. ./superRA/superrawrapper: prefers this checkout'sskills/task-tree, then an installed plugin, then a GitHub clone. The resolution chain lives inskills/task-tree/scripts/wrapper_resolver.py.
Releasing
- Bump with
scripts/bump-version.sh X.Y.Z— it updates every manifest listed in.version-bump.json;--checkreports drift. - Move the
## [Unreleased]notes inRELEASE-NOTES.mdinto## [X.Y.Z] - YYYY-MM-DD, directly below an empty## [Unreleased]. Pushing the bump tomaincreates thevX.Y.ZGitHub release from that section.
Design Principles
superRA gives agents mechanisms they assemble for the current research situation, not a scenario tree for every contingency.
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 Changed · -11 lines · -218 tokens per session ddb18bfa03ac
- 29d ago Changed · -92 lines · -3,037 tokens per session 159cfc61e4a4
- 1mo ago Changed · +32 lines · +930 tokens per session cb6ef1be8761
- 2mo ago First seen · 185 lines · 4,661 tokens per session scan A 6a50e979ebea
superRA CLAUDE.md is an instructions file published in the GitHub repository FuZhiyu/superRA (12 stars, last pushed 4d ago), licensed MIT. It adds 2,336 tokens to every session, about $0.0093 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 2026-09-04.
superRA CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| superRA CLAUDE.mdFuZhiyu/superRA | Instructions file | 12 | 4d ago | MIT | A | 2,336 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |