What is knowing CLAUDE.md?

Project instructions for knowing, a Go code-intelligence engine that builds a searchable map of how code elements are connected.

Use them when developing knowing, running its unit tests, building it, or measuring code-search accuracy with its benchmark suites.

They record the exact build, test, and benchmark commands, including settings needed for this repository's module layout and performance tests.

How blackwell-systems/knowing configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to blackwell-systems/knowing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/blackwell-systems/knowing/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/blackwell-systems/knowing

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/blackwell-systems/knowing/claude-md/github.svg)](https://agentmods.dev/instructions/blackwell-systems/knowing/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/blackwell-systems/knowing/claude-md"><img src="https://agentmods.dev/badge/instructions/blackwell-systems/knowing/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/blackwell-systems/knowing/claude-md"><img src="https://agentmods.dev/badge/instructions/blackwell-systems/knowing/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 6,417 This file is loaded in full into every session.

When invoked 6,417 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.06417	$0.06417
Opus 5.5	$0.02567	$0.02567
Sonnet 5.5	$0.01283	$0.01283
Haiku 4.5	$0.00642	$0.00642

Measured 1mo ago against content hash 1a85e695df52, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

knowing 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.

CLAUDE.md · 290 lines

How it starts

The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.

knowing

Self-adapting code intelligence engine. Single Go binary, zero runtime deps. Gets smarter with scale, not dumber: observes its own graph density and adjusts retrieval strategy automatically. 38 edge types, 23 extractors, 28 MCP tools.

Build & Test

GOWORK=off go build ./...           # build (GOWORK=off required: go.work refs missing module)
GOWORK=off go test ./internal/...   # unit tests
GOWORK=off go test ./cmd/...        # CLI tests
GOWORK=off go test ./bench/...      # benchmark harnesses (some need pre-indexed repos)

Benchmark (P@10 evaluation)

# Full corpus, sequential (official numbers, ~20 min with pre-embedded vectors)
BENCH_EMBEDDINGS=1 BENCH_ADAPTERS=knowing GOWORK=off go test ./bench/cross-system/ -run TestCrossSystem -v -timeout 0

# Full corpus, parallel (iteration mode, ~5 min, P@10 ~0.022 lower due to ONNX CPU contention)
BENCH_PARALLEL=1 BENCH_EMBEDDINGS=1 BENCH_ADAPTERS=knowing GOWORK=off go test ./bench/cross-system/ -run TestCrossSystem -v -timeout 0

# Single repo (fast iteration, no embeddings)
BENCH_REPOS=django BENCH_ADAPTERS=knowing GOWORK=off go test ./bench/cross-system/ -run TestCrossSystem -v -timeout 10m

# With embeddings on single repo (~2 min with pre-embedded vectors)
BENCH_EMBEDDINGS=1 BENCH_REPOS=django BENCH_ADAPTERS=knowing GOWORK=off go test ./bench/cross-system/ -run TestCrossSystem -v -timeout 30m

# Pre-embed all nodes (one-time, ~2 hours for full corpus, skips phantoms)
knowing enrich embeddings -db <repo>/.knowing/graph.db

# Diagnostic env vars (compose freely, no reindex needed):
BENCH_EXCLUDE_EDGES=similar_to,type_hint_of   # exclude edge types from RWR walk
BENCH_BFS_DEPTH=2                             # limit walk depth (default 4)
BENCH_PREFER_TYPE_SEEDS=1                     # force type-seed preference
BENCH_HUB_DAMPEN=50                           # penalize nodes with in-degree >50
BENCH_RERANK_WEIGHT=0.5                       # blend original + embedding scores
BENCH_COHERENCE_BONUS=0.3                     # file-based packing coherence
BENCH_MAX_SEEDS=25                            # override max seed count
BENCH_ADAPTIVE_SEEDS=1                        # enable adaptive seed count
BENCH_GAP_THRESHOLD=5                         # gap-fill activation threshold (default 5)
BENCH_PARALLEL=1                              # parallel repo execution (fast, ~0.022 P@10 lower)

Read the full file on GitHub · 290 lines

Changes

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 · +4 tokens per session 1a85e695df52
2mo ago First seen · 290 lines · 6,413 tokens per session scan A ecee88680c65

Subscribe to this mod's changes

knowing CLAUDE.md is an instructions file published in the GitHub repository blackwell-systems/knowing (24 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 6,417 tokens to every session, about $0.0257 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.

ai-agents code-intelligence content-addressed mcp mcp-server merkle-tree

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knowing: Instructions file for Claude Code