Borrowing it
Nothing to install: this file belongs to Juwon1405/agentic-dart. 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/Juwon1405/agentic-dart/main/AGENTS.mdgit clone --depth 1 https://github.com/Juwon1405/agentic-dartWrote 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/juwon1405/agentic-dart/agents-md)<a href="https://agentmods.dev/instructions/juwon1405/agentic-dart/agents-md"><img src="https://agentmods.dev/badge/instructions/juwon1405/agentic-dart/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/juwon1405/agentic-dart/agents-md"><img src="https://agentmods.dev/badge/instructions/juwon1405/agentic-dart/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 | $0.01035 | $0.01035 |
| Opus 5.5 | $0.00414 | $0.00414 |
| Sonnet 5.5 | $0.00207 | $0.00207 |
| Haiku 4.5 | $0.00103 | $0.00103 |
Grade A, and why
agentic-dart 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Agent Guide for Agentic-DART
Concise operational guide for Codex and other coding agents. For the full rationale see CLAUDE.md. When the two overlap, both are authoritative; CLAUDE.md carries the longer explanation.
No hard-coded counts live in this file on purpose — they drift on every ship and would violate our measure-don't-guess rule. Run the commands below for live values.
Project summary
Autonomous DFIR agent. A senior-analyst loop calls typed, read-only MCP tools (two layers: native pure-Python functions + SIFT-tool adapters), logs every call in a SHA-256-chained audit, and emits a findings report. Python 3.10+, MIT, SANS FIND EVIL! 2026.
Repository map
dart_audit/— SHA-256-chained JSONL audit logger (Python package)dart_mcp/— custom MCP server, typed read-only forensic functions (Python package)dart_agent/— iteration controller, deterministic + live loops, auth (Python package)dart_corr/— DuckDB cross-artifact correlation engine (Python package)dart_playbook/— senior-analyst YAML playbooks; data, nopyproject.toml, loaded by pathexamples/—case-studies/{self-evaluation,external-evaluation}/case-NN/(README + truth.json + evidence_root), demosscripts/—install.sh,benchmark/,scripts/eval/demo.py,generate_realistic_evidence.pytests/— main pytest suite;dart_corr/tests/— correlation-engine tests
Preferred commands
export PYTHONPATH=dart_audit/src:dart_mcp/src:dart_agent/src:dart_corr/src
# Full suite — every test must pass
python3 -m pytest tests/ dart_corr/tests/ -q
# Focused
python3 tests/test_mcp_surface.py # tool-surface drift (asserts the exact set)
python3 tests/test_mcp_bypass.py # adversarial / read-only guard
python3 -m pytest dart_corr/tests/ -q # correlation engine
# Live tool count / native / SIFT split
PYTHONPATH=dart_mcp/src python3 -c "import dart_mcp; t=dart_mcp._REGISTRY; \
s=[k for k in t if k.startswith('sift_')]; print(len(t), len(t)-len(s), len(s))"
# Offline demo (deterministic, no API key)
bash examples/demo-run.sh
# Accuracy (deterministic; recall must stay 1.0, hallucination 0)
python3 -m scripts.eval.demo
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 · 86 lines · 1,035 tokens per session scan A a7ddde1cd1a7
agentic-dart AGENTS.md is an instructions file published in the GitHub repository Juwon1405/agentic-dart (9 stars, last pushed 4mo ago), licensed MIT. It adds 1,035 tokens to every session, about $0.0041 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.