Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/itsmostafa/hivemind/claude-mdgit clone --depth 1 https://github.com/itsmostafa/hivemindWrote 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/itsmostafa/hivemind/claude-md)<a href="https://agentmods.dev/instructions/itsmostafa/hivemind/claude-md"><img src="https://agentmods.dev/badge/instructions/itsmostafa/hivemind/claude-md.svg" alt="Measured on agentmods" 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 | $0.01001 | $0.01001 |
| Opus 5 | $0.00500 | $0.00500 |
| Sonnet 5 | $0.00200 | $0.00200 |
| Haiku 4.5 | $0.00100 | $0.00100 |
Grade A, and why
hivemind 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Commands
# Run all checks (lint + format + tests) — always run after implementing code changes
task check
# Individual tasks
task lint # ruff check
task format # ruff format
task test # pytest
# Run a single test
uv run pytest tests/test_executor.py::test_name -v
# Invoke the CLI (use uv run — the system entrypoint may use the wrong Python)
uv run hivemind init # scaffold ~/.hivemind/config.yml
uv run hivemind run --executor ollama/llama3 --advisor ollama/llama3 "Your task"
uv run hivemind chat # interactive REPL with state carryover
uv run hivemind trace traces/run.jsonl
Architecture
hivemind implements the "advisor strategy" pattern: an executor model handles the task turn-by-turn while an advisor model is consulted only when needed, controlling cost.
Data flow
User prompt → CLI / run_task() → ExecutorLoop
→ ModelClient (LiteLLM) → Executor model
→ DecisionPolicy.should_consult() [checks gates + heuristics]
→ (if triggered) Advisor.consult() → Advisor model
→ inject AdvisorResponse as user message → next executor turn
→ [DONE] detected → return ExecutorResult
Key components
| File | Role |
|---|---|
executor.py |
ExecutorLoop — drives conversation turns, injects advisor guidance, detects [DONE] |
policy.py |
DecisionPolicy — gates (budget/cooldown) + heuristics (explicit [NEED_ADVICE], consecutive failures, low [CONFIDENCE:X.X], stagnation via Jaccard similarity) |
advisor.py |
Advisor — serializes context to JSON, calls advisor model, parses structured AdvisorResponse |
models.py |
ModelClient — thin LiteLLM wrapper; tool-call loop for Tavily search; passes api_base through for local endpoints |
schemas.py |
Pydantic models: hivemindConfig, ModelConfig, PolicyConfig, SearchConfig, ExecutorResult, AdvisorResponse |
config.py |
load_config() + merge_cli_overrides() — YAML loading from ~/.hivemind/config.yml with ${ENV_VAR} expansion |
log.py |
TraceLogger — structured JSONL events per turn |
tracking.py |
CostTracker — token/cost accounting per role (executor vs advisor) |
cli.py |
Click CLI — hivemind init, hivemind run, and hivemind trace commands |
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 First seen · 66 lines · 1,001 tokens per session scan A e1ddb7fab9e5
hivemind CLAUDE.md is an instructions file published in the GitHub repository itsmostafa/hivemind (19 stars, last pushed 4mo ago), licensed MIT. It adds 1,001 tokens to every session, about $0.0050 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 2026-08-30.
Other instructions, from other repositories
ai-workflow AGENTS.md
Instructions for cunhaax/ai-workflow, covering ai workflow template, rules — non-negotiable, project overview, commands and architecture.
trackly-cli CLAUDE.md
Claude Code instructions for trackly-app/trackly-cli, covering trackly-cli, tech stack, backend production source of truth, directory structure and key commands.
vibetags com-example-config-AsyncTestConfig.instructions.md
Instructions for PIsberg/vibetags, covering copilot instructions for asynctestconfig and immutable type.
pupila CLAUDE.md
Instructions for FranRom/pupila, covering claude.md, where things live, stack, run locally and repo layout.
claude-bridge AGENTS.md
Instructions for kadaba/claude-bridge, covering agents.md — using claude-bridge from any ai coding cli, two independent channels, 1. coordination (the conversation), 2. file transfer (the bytes) — same for every tool and workflows.
McpServer AGENTS.md
AGENTS.md instructions for sharpninja/McpServer, covering agent instructions, session start, rules, byrd test gate and where things live.