Borrowing it
Nothing to install: this file belongs to Aayush-Joshi-01/deepcrew-ai. 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/Aayush-Joshi-01/deepcrew-ai/main/CLAUDE.mdgit clone --depth 1 https://github.com/Aayush-Joshi-01/deepcrew-aiWrote 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/aayush-joshi-01/deepcrew-ai/claude-md)<a href="https://agentmods.dev/instructions/aayush-joshi-01/deepcrew-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/aayush-joshi-01/deepcrew-ai/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/aayush-joshi-01/deepcrew-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/aayush-joshi-01/deepcrew-ai/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 | $0.01379 | $0.01379 |
| Opus 5 | $0.00690 | $0.00690 |
| Sonnet 5 | $0.00276 | $0.00276 |
| Haiku 4.5 | $0.00138 | $0.00138 |
Grade A, and why
deepcrew-ai 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 9d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Guidance for coding agents (Claude Code and others) working in this repository.
What this is
deepcrew-ai (import name deepcrew) is an async, LiteLLM-backed multi-agent library. Its
distinguishing features are a self-improving refinement loop (verifier-scored, adaptive,
self-consistency branching, skill distillation), bounded recursive agent spawning, APEX
multi-agent synthesis, and true token streaming with selectable visibility (StreamPolicy).
Architecture map
src/deepcrew/agent.py—Agentdataclass: model, system prompt, tools, memory, hooks,response_model, retry/fallback config.src/deepcrew/runner.py—run_agent(): the core agentic loop (stream → buffer tool calls → execute in parallel → repeat). Delegates toloop.pywhenAgent.loop_configis set.src/deepcrew/orchestrator.py—Orchestrator: router LLM picks single-agent or parallel fan-out, thenapex.py'sAPEXSynthesizermerges parallel results.src/deepcrew/loop.py—run_agent_loop(): outer refinement loop driven byLoopConfig— verifier scoring (verifier.py), adaptive early-stop, self-consistency branching, and Voyager-style skill distillation intoskills/registry.py.src/deepcrew/spawner.py— bounded recursive sub-agent spawning (spawn_agentmeta-tool), hard-capped bymax_spawn_depth.src/deepcrew/procedural_memory.py— durable, evolving playbook layered on anyMemoryProvider.src/deepcrew/memory/—MemoryProviderABC +InMemoryProvider,FileMemoryProvider,RedisMemoryProvider(lazy-imported; needs theredisextra).src/deepcrew/content.py— multimodal input:image(),pdf(),user_message()build OpenAI content blocks;extract_text()is the canonical way to pull plain text out of a message whosecontentmay be a string or a block list.src/deepcrew/stream.py—StreamEvent/EventType,StreamPolicy(chat/standard/verbose presets),filter_stream(). Filtering is view-only — it never changes what actually executes.src/deepcrew/hooks.py—AgentHooks: human-in-the-loop interception (approve_toolcan deny a tool call outright). Distinct from the observe-only event stream.src/deepcrew/workflow.py—WorkflowBuilder: explicit DAG of agents, Kahn's-algorithm level scheduling so independent nodes run in parallel.src/deepcrew/mcp/— MCP client transports (stdio, SSE, streamable HTTP) +MCPManager.src/deepcrew/integrations/fastapi.py— optional (fastapiextra) drop-in SSE router.src/deepcrew/cli/—deepcrew run <workflow.yaml>/deepcrew agents list.
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.
- 9d ago First seen · 88 lines · 1,379 tokens per session scan A a717a9dcc76e
deepcrew-ai CLAUDE.md is an instructions file published in the GitHub repository Aayush-Joshi-01/deepcrew-ai (2 stars, last pushed 1mo ago), licensed MIT. It adds 1,379 tokens to every session, about $0.0069 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.
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