Borrowing it
Nothing to install: this file belongs to epicsagas/Episteme. 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/epicsagas/Episteme/main/AGENTS.mdgit clone --depth 1 https://github.com/epicsagas/EpistemeWrote 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/epicsagas/episteme/agents-md)<a href="https://agentmods.dev/instructions/epicsagas/episteme/agents-md"><img src="https://agentmods.dev/badge/instructions/epicsagas/episteme/agents-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/epicsagas/episteme/agents-md"><img src="https://agentmods.dev/badge/instructions/epicsagas/episteme/agents-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 | $0.02723 | $0.02723 |
| Opus 5.5 | $0.01089 | $0.01089 |
| Sonnet 5.5 | $0.00545 | $0.00545 |
| Haiku 4.5 | $0.00272 | $0.00272 |
Grade A, and why
Episteme AGENTS.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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Commands
- Build:
cargo build| Build (release):cargo build --release - Test:
cargo test| Test single:cargo test <test_name>| Test module:cargo test --lib <module>::tests - Lint:
cargo clippy -- -D warnings| Format:cargo fmt| Run:cargo run -- <subcommand> - Gen/Sync: N/A
Project Structure
src/main.rs— CLI entry point (clap derive, 13 subcommands)src/lib.rs— Library root, re-exports primary typessrc/cli.rs— Clap command enum definitionssrc/commands/— CLI subcommand handlers:analysis,build,search,graph,install,service,othersrc/domain/— Business logic (no external deps):graph(KnowledgeGraph, BFS, inverse relation derivation),detectors(16 smell detectors),engine(RefactoringRanker),inference,summarizer,problem_mapper,types(Entity, EntityType, RelationType, SmellType),metrics(CodeMetrics, SmellDetection)src/ports/— Traits (hexagonal boundaries):parser(CodeParser),search(SearchIndex),graph(GraphRepository),embeddings(EmbeddingProvider)src/adapters/— Infrastructure:regex_parsers(GenericParser, 10 langs),python_ast_parser(rustpython-parser),search_engines(FTS5 + cosine),sqlite_db,cache,local_embeddings(fastembed/ONNX),openai_embeddings,service(MCP HTTP daemon),installer(Transport enum, upsert_dir, multi-tool seeding),install_wizard(TUI transport selection),config,metrics,telemetry,paths,hooks,json_loader,constants,error,rate_limiter,structured_logging,chunker,builder,rate_limiter_mwsrc/server/— HTTP layer (axum):api_routes(REST endpoints),api_server,api_app,api_middleware,api_models,mcp_handler(MCP facade),mcp_dispatcher,mcp_search,mcp_graph,mcp_analysis,mcp_schemas,mcp_transport_http,mcp_auth,web_viewer(D3-force graph UI)raw/— Knowledge base source data:code-smells/,design-patterns/,refactoring/,software-engineering/meta/— Generated metadata:relations.json(solves is SSOT; solved_by derived at load time),taxonomy.json,schema.json,code_smells.jsonregistry/— Seedable artifacts:agents/(4 AI agent definitions),skills/episteme/(skill definition)docs/— User documentation:api.md,mcp-integration-guide.md,distribution.md,alcove-integration.mdbenchmarks/— Search quality benchmarks and evaluationmonitoring/— Prometheus + Grafana + Alertmanager configdb/— Pre-built SQLite database (episteme.db)dist/— Release packaging artifacts
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 · +321 tokens per session 4eea131ee688
- 1mo ago First seen · 112 lines · 2,402 tokens per session scan A fee9366d01e5
Episteme AGENTS.md is an instructions file published in the GitHub repository epicsagas/Episteme (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 2,723 tokens to every session, about $0.0109 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 2026-08-31.
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).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.