Borrowing it
Nothing to install: this file belongs to OZmasterAI/Torus-Framework. 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/OZmasterAI/Torus-Framework/main/CLAUDE.mdgit clone --depth 1 https://github.com/OZmasterAI/Torus-FrameworkWrote 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/ozmasterai/torus-framework/claude-md)<a href="https://agentmods.dev/instructions/ozmasterai/torus-framework/claude-md"><img src="https://agentmods.dev/badge/instructions/ozmasterai/torus-framework/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/ozmasterai/torus-framework/claude-md"><img src="https://agentmods.dev/badge/instructions/ozmasterai/torus-framework/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 | $0.01357 | $0.01357 |
| Opus 5.5 | $0.00543 | $0.00543 |
| Sonnet 5.5 | $0.00271 | $0.00271 |
| Haiku 4.5 | $0.00136 | $0.00136 |
Grade A, and why
Torus-Framework 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 2mo 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Torus-Framework
TOOLSHED (single MCP gateway)
All tools route through toolshed: run_tool(server, tool, args)
- memory: search_knowledge, get_memory, remember_this, fuzzy_search, record_attempt, record_outcome, query_fix_history, health_check, agent_coordination
- torus-skills: list_skills, invoke_skill, search_skills, self_improve, skill_usage, skill_health, record_outcome, trigger_evolution, capture_skill, skill_lineage
- search: terminal_history_search, transcript_context
- web-search: web_search
- indexer: code_search, code_callers, code_readers, code_path, code_blast_radius, code_hubs, code_clusters, code_cluster_detail
- Discovery:
list_tools(group="memory")to see tools in a group
INDEX FIRST (for code searches)
BEFORE exploring code: Read .claude/GRAPH_REPORT.md in the project root for hubs, clusters, and file map.
- For targeted lookups:
run_tool("indexer", "code_search", {"project": "<dir-name>", "query": "..."}) code_callers/code_readersfor call chains,code_blast_radiusfor impact- If index returns hits, Read those files directly — do NOT grep/find/glob
MEMORY FIRST (Non-Negotiable)
BEFORE building/fixing ANYTHING: run_tool("memory", "search_knowledge", {"query": "..."})
-
0.5: use directly | 0.2-0.5: get_memory(id) to verify | <0.2: treat as unknown AFTER any fix/decision/failed-approach/preference:
run_tool("memory", "remember_this", {"content": "...", "tags": "..."})For errors: use Causal Chain (below) then remember_this()
THE LOOP (mandatory — do not skip steps)
memory → brainstorm → writing-plans → tests → implement → prove → review → commit
- Write failing tests BEFORE implementation — define "correct" before coding
- All steps are toolshed skills:
run_tool("torus-skills", "invoke_skill", {"name": "brainstorm"}), etc. - Do NOT use EnterPlanMode — brainstorm replaces it
- For quick fixes: memory → fix → test → commit (skip brainstorm/writing-plans)
SKILLS (via toolshed MCP — NOT the built-in Skill tool)
NEVER use the Skill tool for framework skills (brainstorm, commit, wrap-up, etc.)
The built-in Skill tool is ONLY for: update-config, simplify, loop, schedule, claude-api, keybindings-help.
All framework skills route through: run_tool("torus-skills", "invoke_skill", {"name": "..."})
Discovery: run_tool("torus-skills", "search_skills", {"query": "..."})
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.
- 2mo ago First seen · 76 lines · 1,357 tokens per session scan A 21712abe4cd3
Torus-Framework CLAUDE.md is an instructions file published in the GitHub repository OZmasterAI/Torus-Framework (5 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 1,357 tokens to every session, about $0.0054 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.
Torus-Framework CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Torus-Framework CLAUDE.mdOZmasterAI/Torus-Framework | Instructions file | 5 | 5mo ago | Apache-2.0 | A | 1,357 | 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 | yesterday | 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 |