Borrowing it
Nothing to install: this file belongs to tetracoralla/decision-table. 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/tetracoralla/decision-table/main/AGENTS.mdgit clone --depth 1 https://github.com/tetracoralla/decision-tableWrote 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/tetracoralla/decision-table/agents-md)<a href="https://agentmods.dev/instructions/tetracoralla/decision-table/agents-md"><img src="https://agentmods.dev/badge/instructions/tetracoralla/decision-table/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/tetracoralla/decision-table/agents-md"><img src="https://agentmods.dev/badge/instructions/tetracoralla/decision-table/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 | $0.00500 | $0.00500 |
| Opus 5.5 | $0.00200 | $0.00200 |
| Sonnet 5.5 | $0.00100 | $0.00100 |
| Haiku 4.5 | $0.00050 | $0.00050 |
Grade A, and why
decision-table 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 2mo 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decision Table repository contract
Product boundary
This repository owns a deterministic Agent-facing decision interface. It does not own workflows, business process orchestration, policy authoring by an LLM, general expression evaluation, optimization, or a visual rule editor.
Read docs/PRODUCT_MODEL.md and docs/REVIEW_CONTRACT.md before changing or
reviewing the product.
A plain owner request to review, audit, 审核, or 复核 automatically invokes the
complete review contract in read-only mode unless fixes are also requested.
Treat it as the minimum scope, not a ceiling, and finish with tools-dev workspace escalations for shared contracts, installation, or resource risks;
do not ask the owner to supply a separate checklist.
The canonical model is docs/PRODUCT_MODEL.md; the executable Zod schemas in
src/model/schemas.ts are the transport and runtime authority. Keep examples,
CLI, MCP, and the Codex Skill on that one model.
Invariants
- Never evaluate source strings, JavaScript, regular expressions, or an opaque expression object. Conditions use the tagged canonical IR only.
- Missing data is
UNKNOWN, notfalseornull. Preserve three-valued semantics throughall,any, andnot. - Decimal facts are canonical strings. Do not silently accept binary floating
point for
decimalinputs. - Reject unknown request, ruleset, condition, and fact fields. A typo must not silently change a decision.
- Every result identifies the exact ruleset id, version, and deterministic fingerprint that produced it. Version and effective-window failures are ordinary structured statuses.
- Static analysis must only report mechanically proven overlap or shadowing. Do not imply full SAT/SMT completeness.
- MCP tools are read-only and idempotent. They accept inline JSON only; do not add ambient filesystem authority without a separately granted root and path escape tests.
- Keep the ordinary result envelope below the declared response limit and all request-wide node, depth, input, and rule limits cumulative.
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.
- 2mo ago First seen · 50 lines · 500 tokens per session scan A 7debabd45830
decision-table AGENTS.md is an instructions file published in the GitHub repository tetracoralla/decision-table (0 stars, last pushed 8d ago), licensed Apache-2.0. It adds 500 tokens to every session, about $0.0020 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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.