Borrowing it
Nothing to install: this file belongs to vassiliylakhonin/agenda-intelligence-md. 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/vassiliylakhonin/agenda-intelligence-md/main/AGENTS.mdgit clone --depth 1 https://github.com/vassiliylakhonin/agenda-intelligence-mdWrote 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/vassiliylakhonin/agenda-intelligence-md/agents-md)<a href="https://agentmods.dev/instructions/vassiliylakhonin/agenda-intelligence-md/agents-md"><img src="https://agentmods.dev/badge/instructions/vassiliylakhonin/agenda-intelligence-md/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/vassiliylakhonin/agenda-intelligence-md/agents-md"><img src="https://agentmods.dev/badge/instructions/vassiliylakhonin/agenda-intelligence-md/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 | $0.03376 | $0.03376 |
| Opus 5.5 | $0.01350 | $0.01350 |
| Sonnet 5.5 | $0.00675 | $0.00675 |
| Haiku 4.5 | $0.00338 | $0.00338 |
Grade A, and why
agenda-intelligence-md 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 2d 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project identity
Agenda Intelligence MD is primarily a deterministic evidence-packet linter for claim-backed AI output. It keeps the older strategic-intelligence runtime, transports, and vertical workers as compatibility surfaces and inspectable examples.
It bundles four things in one repository:
- Core package + service layer — pure Python functions (
check_evidence_packet,audit_claims,grounded_check,source_coverage, and compatibility profile functions) in src/agenda_intelligence/services.py. Vendor-neutral, no transport, no marketplace, no default live retrieval. - MCP server — exposes
analyze,validate_memo,list_signals,get_signal, anddeep_dive(stub) over stdio for desktop assistants.analyzeaccepts a structured request (agenda-request.schema.json), routes geography to the relevant regional reference, assembles a system prompt from the in-repo Global Think Tank Analyst method plus regional lenses, optionally calls the Anthropic API whenANTHROPIC_API_KEYis set, and returns a memo validated againstagenda-memo.schema.json. - HTTP API shell — thin transport over the service layer (src/agenda_intelligence/http_api.py). Stateless, no auth opinion, no billing. Documented in docs/deployment/http-api.md.
- A2A adapter — routing and protocol layer over the HTTP/service layer (src/agenda_intelligence/a2a_adapter.py). Emits A2A-compatible agent cards, accepts
message/send, converts to service-request shape, returns A2A artifacts. Local shell behavior is documented in docs/deployment/a2a-adapter.md. Live deployment baseline lives under deploy/cloudflare-worker/.
Layering (channel concerns must not leak into core):
Core package -> service functions -> MCP server | HTTP API shell -> A2A adapter -> deployment package
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.
- 2d ago Changed · +41 tokens per session 3639de0132ef
- 11d ago Changed · +2 lines · +92 tokens per session 1fd39d156c34
- 2mo ago First seen · 177 lines · 3,243 tokens per session scan A 25247f88acf7
agenda-intelligence-md AGENTS.md is an instructions file published in the GitHub repository vassiliylakhonin/agenda-intelligence-md (8 stars, last pushed today), licensed MIT. It adds 3,376 tokens to every session, about $0.0135 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.
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langchain AGENTS.md
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Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.