Borrowing it
Nothing to install: this file belongs to keshrath/agent-knowledge. 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/keshrath/agent-knowledge/main/CLAUDE.mdgit clone --depth 1 https://github.com/keshrath/agent-knowledgeWrote 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/keshrath/agent-knowledge/claude-md)<a href="https://agentmods.dev/instructions/keshrath/agent-knowledge/claude-md"><img src="https://agentmods.dev/badge/instructions/keshrath/agent-knowledge/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/keshrath/agent-knowledge/claude-md"><img src="https://agentmods.dev/badge/instructions/keshrath/agent-knowledge/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 | $0.01822 | $0.01822 |
| Opus 5.5 | $0.00729 | $0.00729 |
| Sonnet 5.5 | $0.00364 | $0.00364 |
| Haiku 4.5 | $0.00182 | $0.00182 |
Grade A, and why
agent-knowledge 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-knowledge
Architecture
Layered architecture — single server.ts handles MCP tools, separate dashboard.ts for HTTP/WebSocket:
scripts/
tree-sitter-extract.mjs Standalone CLI for zero-token code structure extraction
tree-sitter-lang.mjs Per-language tree-sitter query definitions (8 languages)
setup.js Automated setup wizard (MCP server + hooks + skill install)
hooks/ Claude Code lifecycle hooks
skills/
knowledge-ingest/
SKILL.md Claude Code skill file
src/
server.ts MCP server, 6 tool definitions, request routing
dashboard.ts HTTP + WebSocket server, REST API, file watcher
index.ts Entry point (MCP stdio + dashboard auto-start)
types.ts KnowledgeConfig, getConfig(), getVersion()
package-meta.ts Cached name/version from package.json
validate.ts ValidationError class, input validation
version.ts Re-exports getVersion from types.ts
knowledge/
store.ts Markdown CRUD, frontmatter parsing, path traversal protection
search.ts TF-IDF search over knowledge entries with regex fallback
git.ts git pull/push/sync with timeouts
distill.ts Session auto-distillation with secrets scrubbing
graph.ts Knowledge graph — edges table, link/unlink/traverse (BFS)
scoring.ts Confidence/decay scoring — entry_scores table, auto-promotion
consolidate.ts Memory consolidation — TF-IDF duplicate detection, cluster grouping
reflect.ts Reflection cycle — surfaces unconnected entries, generates prompts
analyze.ts Graph analysis — god nodes, bridges, gaps, knowledge brief
sessions/
parser.ts Multi-format session parsing with mtime-based cache
indexer.ts Background indexing for sessions
search.ts TF-IDF ranked search with 60s global index cache
scopes.ts Search scopes (errors, plans, configs, tools, files, decisions)
summary.ts Session summaries, topic extraction, file path detection
adapters/
index.ts SessionAdapter interface, adapter registry, auto-init
opencode.ts OpenCode adapter (SQLite database)
search/
tfidf.ts TF-IDF scoring engine (tokenizer, stopwords, index)
fuzzy.ts Levenshtein distance, sliding window fuzzy matching
excerpt.ts Search result excerpt generation
types.ts SearchResult, SearchOptions interfaces
embeddings/
index.ts Embedding provider registry
factory.ts Provider factory (auto-detect available providers)
types.ts EmbeddingProvider interface
claude.ts Claude/Voyage embeddings
openai.ts OpenAI embeddings
gemini.ts Gemini embeddings
local.ts Local embedding fallback
vectorstore/
index.ts Vector store facade
store.ts SQLite-backed vector storage with cosine similarity
chunker.ts Document chunking for embedding
ui/
index.html Dashboard SPA
styles.css MD3 design tokens (light + dark)
app.js Client-side vanilla JS (WebSocket, tabs, rendering)
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 First seen · 140 lines · 1,822 tokens per session scan A f27b18b1472a
agent-knowledge CLAUDE.md is an instructions file published in the GitHub repository keshrath/agent-knowledge (18 stars, last pushed 18d ago), licensed MIT. It adds 1,822 tokens to every session, about $0.0073 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.
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