Borrowing it
Nothing to install: this file belongs to rocketvish/bearing. 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/rocketvish/bearing/master/CLAUDE.mdgit clone --depth 1 https://github.com/rocketvish/bearingWrote 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/rocketvish/bearing/claude-md)<a href="https://agentmods.dev/instructions/rocketvish/bearing/claude-md"><img src="https://agentmods.dev/badge/instructions/rocketvish/bearing/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/rocketvish/bearing/claude-md"><img src="https://agentmods.dev/badge/instructions/rocketvish/bearing/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 | $0.01435 | $0.01435 |
| Opus 5.5 | $0.00574 | $0.00574 |
| Sonnet 5.5 | $0.00287 | $0.00287 |
| Haiku 4.5 | $0.00144 | $0.00144 |
Grade A, and why
bearing CLAUDE.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- `agent.py` -- Tool-use agent via provider adapters (OpenAI Responses or Anthropic Messages, urllib/no SDK), with prompt caching + reasoning effort This is a copy
92% identical to bearing AGENTS.md — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bearing - Task Orchestrator for CLI Agents
Architecture
bearing.py-- CLI entry point + orchestration loop (run_orchestrator,propagate_context)executor.py-- Prompt assembly (assemble_prompt) + CLI execution (run_task)relevance.py-- Embedding-based relevance scoring + compression via Ollamaeval_runner.py-- Evaluation framework: runs benchmark under 4 context format conditionseval_compare.py-- Eval compare: Bearing (8 sessions) vs single session (1 mega-prompt)agent.py-- Tool-use agent via provider adapters (OpenAI Responses or Anthropic Messages, urllib/no SDK), with prompt caching + reasoning effortcompressor.py-- Mid-conversation history compression (API or Ollama backends)retriever.py-- Embedding-based selective history retrieval via Ollama (nomic-embed-text)eval_agent.py-- Eval: agent with/without compression/caching/retrieval vs claude -p (7 conditions)test_sanity.py-- Quick sanity test for caching + reasoning featurestasks_schema.py-- Dataclasses for Task, TaskQueue, TaskResultstatus_writer.py-- Generates status.md from task queue state
Eval Framework
Four context format conditions: prose, structured, embedding, embedding+llm.
Eval Compare (bearing eval-compare)
Compares Bearing's 8-session approach against a single mega-prompt session. This tests the core value proposition: task isolation prevents context accumulation and compaction. The single session gets the same task prompts and FOCUS directives but must build everything in one accumulated context. Key metrics: total tokens, compaction count, per-task quality.
Key Learnings
Embedding similarity baseline is high for same-domain text. nomic-embed-text cosine similarity for chunks within the same project bottoms out around 0.5-0.6, not 0.2-0.3. Default thresholds are set at keep=0.75, drop=0.55 to account for this. Benchmarks that need chunks to actually drop require genuinely unrelated domains (e.g., different languages or problem spaces), not just "parallel feature tracks" in the same codebase.
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 · 117 lines · 1,435 tokens per session scan A 913fd05da1da
bearing CLAUDE.md is an instructions file published in the GitHub repository rocketvish/bearing (2 stars, last pushed 4mo ago), licensed MIT. It adds 1,435 tokens to every session, about $0.0057 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 92% identical to bearing AGENTS.md, differing in 10 lines, and is treated as a copy.
Other instructions, from other repositories
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Copilot instructions for Ethan-YS/project-brain, covering on session start, single-workstream, multi-workstream, update behavior and project red lines.
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Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
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vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).