Borrowing it
Nothing to install: this file belongs to bolnet/attestor. 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/bolnet/attestor/main/CLAUDE.mdgit clone --depth 1 https://github.com/bolnet/attestorWrote 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/bolnet/attestor/claude-md)<a href="https://agentmods.dev/instructions/bolnet/attestor/claude-md"><img src="https://agentmods.dev/badge/instructions/bolnet/attestor/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/bolnet/attestor/claude-md"><img src="https://agentmods.dev/badge/instructions/bolnet/attestor/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 | $0.02895 | $0.02895 |
| Opus 5.5 | $0.01158 | $0.01158 |
| Sonnet 5.5 | $0.00579 | $0.00579 |
| Haiku 4.5 | $0.00290 | $0.00290 |
Grade A, and why
attestor 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 1mo 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Attestor
Governed memory for multi-agent production meshes. Self-hosted; role-based access enforced at the AgentContext layer, provenance on every memory, per-agent budgets, deterministic retrieval with no LLM in scoring by default, temporal supersession with as_of replay, hard tenant isolation, auditable forget + retention, and governance jobs on opt-in durable Temporal workflows (never on the read path). The Claude Code plugin is an on-ramp demo, not the product.
PyPI: attestor -- Python import: attestor.
Project Structure
attestor/
core.py -- AgentMemory class (main public API)
client.py -- MemoryClient (HTTP drop-in for remote Attestor)
context.py -- AgentContext (identity, role, namespace, token budget, provenance)
models.py -- Memory, RetrievalResult dataclasses
cli.py -- CLI entry point
api.py -- Starlette ASGI REST API
store/
base.py -- DocumentStore / VectorStore / GraphStore interfaces
registry.py -- Backend selection; default = postgres + neo4j
connection.py -- Config layering / env resolution
embeddings.py -- Provider auto-detect (local / OpenAI / Bedrock / Vertex / Azure)
postgres_backend.py-- Postgres (document role; pgvector embedding column kept in schema)
pinecone_backend.py-- Pinecone (vector role; auto-detects Local Docker vs Cloud)
neo4j_backend.py -- Neo4j + GDS (graph role, PageRank / BFS)
schema.sql
graph/
extractor.py -- Entity/relation extraction (4-output GraphRAG)
retrieval/
orchestrator/ -- 6-step semantic-first cascade (vector → BM25 → RRF → graph → MMR → fit); core.py
tag_matcher.py
scorer.py -- Temporal + entity + PageRank boosts, confidence decay, MMR
temporal/
manager.py -- Contradiction detection, supersession, timeline, as_of replay
durable/ -- OPT-IN Temporal (durable execution) for governance JOBS only — not temporal reasoning
config.py, client.py, dispatch.py, worker.py, schedules.py, models.py, status.py
activities/ -- consolidation, derive, forget, retention, sessions (all I/O lives here; ids in, never content)
workflows/ -- ConsolidateEpisode, DeriveMemory, RebuildDerived, ForgetUser (saga), RetentionSweep, SessionSweep
extraction/ -- Rule-based + optional LLM memory extraction
mcp/
server.py -- MCP server (tools + resources + prompts)
hooks/
session_start.py -- Context injection at session start
post_tool_use.py -- Auto-capture from Write/Edit/Bash
stop.py -- Session summary on exit
utils/
config.py, tokens.py
infra/local/ -- Docker Compose for local Postgres + Pinecone Local + Neo4j
tests/ -- Unit tests (live integration tests env-gated)
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.
- 1mo ago Changed · +7 lines · +602 tokens per session 8ccf38b9e03d
- 2mo ago First seen · 126 lines · 2,293 tokens per session scan A 307422f7ab2b
attestor CLAUDE.md is an instructions file published in the GitHub repository bolnet/attestor (14 stars, last pushed 1mo ago), licensed MIT. It adds 2,895 tokens to every session, about $0.0116 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
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
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.