goal-acceptance: Instructions file for Codex

AGENTS.md

goal-acceptance AGENTS.md is an instructions file for Codex, OpenCode from cckyros/goal-acceptance. It costs 1,070 tokens per session, scanned A, original, MIT.

Project instructions for cckyros/goal-acceptance, a software project that manages goals and checks whether files or sessions meet acceptance conditions. They describe its package manager, architecture, source layout, and coding rules.

In plain words
What is it for?
Use them when modifying cckyros/goal-acceptance, especially when working on its event-sourced state machine, goal manager, tools, manifest, or plugin integrations.
Why use it?
Following these rules keeps changes compatible with the project’s structure and build process. They also clarify where core logic, tools, manifests, and platform integrations belong.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: built for openclaw.

This is cckyros/goal-acceptance's own configuration. It tells Codex and OpenCode how to work on goal-acceptance itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything goal-acceptance configures →

Reuse

Borrowing it

Nothing to install: this file belongs to cckyros/goal-acceptance. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/cckyros/goal-acceptance/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/cckyros/goal-acceptance

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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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.

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Per session 1,070 This file is loaded in full into every session.
When invoked 1,070 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01070 $0.01070
Opus 5.5 $0.00428 $0.00428
Sonnet 5.5 $0.00214 $0.00214
Haiku 4.5 $0.00107 $0.00107

Measured 2mo ago against content hash 8b41f670eb5a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

goal-acceptance 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.

AGENTS.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

goal-acceptance — Project Rules

Package Manager

  • Use pnpm, never npm or yarn.
  • Single package (no workspace). autoInstallPeers: false is required: @deepseek-ai/* peer closures include host-platform packages that are not in the npm registry — dsh injects them at runtime.

Architecture

  • src/plugin/engine/ — zero-dependency event-sourced state machine. No Cordis, no Harness, no @deepseek-ai imports.
  • src/plugin/goal-manager.ts — multi-goal manager + FileAcceptanceStore
    • SessionAcceptanceStore (dsh, type-only imports). Shared by ALL paths.
  • src/plugin/manifest.ts — SINGLE source of identity (name, version, tools, markers, config). build.mjs generates every identity file from it.
  • src/plugin/tools.ts — 13 ToolDefs ({name, description, inputSchema, handler}); manifest.tools is built from them.
  • src/plugin/dsh-plugin.ts — Cordis plugin (service + 13 tools + systemPrompt section + turn-stopping steer + invariant registration). @deepseek-ai/* imports live ONLY here, in invariant.ts, and type-only in goal-manager.ts. Plugin id = manifest.name.
  • src/plugin/openclaw-plugin.ts — defineToolPlugin port; execute per the SDK contract (params, config, context); id = 'goal-acceptance' (brand).
  • src/plugin/targets/ — 22 install adapters (copied framework layer). PLUGIN_PACKAGE_FILES holds exactly 6 entries (deviation #1) — do not change without updating the materialize tests.
  • src/assets/ — SKILL.md + 8 companion skills with {{placeholders}}; build syncs them to skills/ (deviation #2).

Code Conventions

  • TypeScript with strict (tsconfig in this repo), .ts extension in relative imports, allowImportingTsExtensions.
  • Event-sourced: all state changes go through store.append(event) then applyEvent(event).
  • applyEvent must be idempotent (sync replays events from the store).
  • Readonly interfaces for all public types. Mutable state is private inside the engine.
  • No TS parameter properties in constructors — node --test strip-only mode cannot parse them (use plain fields).
  • Engine errors stay GoalAcceptanceError (from ./engine/index.ts); the framework MCP runtime converts them to {error, code} + isError: true.

Read the full file on GitHub · 85 lines

Changes

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.

  1. 2mo ago First seen · 85 lines · 1,070 tokens per session scan A 8b41f670eb5a

Subscribe to this mod's changes

goal-acceptance AGENTS.md is an instructions file published in the GitHub repository cckyros/goal-acceptance (2 stars, last pushed 22d ago), licensed MIT. It adds 1,070 tokens to every session, about $0.0043 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.

Related

goal-acceptance AGENTS.md compared with instructions from other repositories

goal-acceptance AGENTS.md next to 6 instructions from other repositories
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goal-acceptance AGENTS.mdcckyros/goal-acceptanceInstructions file222d agoMITA1,070Codex, OpenCode
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next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA5,649GitHub Copilot
langchain AGENTS.mdlangchain-ai/langchainInstructions file149ktodayMITA4,680Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA3,093GitHub Copilot
vscode model-prompts.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA2,022GitHub Copilot