skill-sync AGENTS.md

Repository instructions for TreatTrick/skill-sync covering development practices, AI collaboration, and Git commits. Git is a tool for tracking code changes, and a commit is a saved change set.

In plain words
What is it for?
Use them to guide file searches, edits, testing, formatting, linting, builds, comments, and Conventional Commit messages.
Why use it?
They give contributors and coding assistants shared rules for making focused, reviewable changes in the project.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/treattrick/skill-sync/agents-md
Clone the repo
git clone --depth 1 https://github.com/TreatTrick/skill-sync

Made for: Codex, OpenCode.

Per session 2,313 This file is loaded in full into every session.
When invoked 2,313 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.02313 $0.02313
Opus 5 $0.01156 $0.01156
Sonnet 5 $0.00463 $0.00463
Haiku 4.5 $0.00231 $0.00231

Measured 2d ago against content hash 54e8cd633b78, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-sync 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.

AGENTS.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

General Development Rules

  1. Prefer existing repository patterns. Use this document when the codebase has no stricter rule.
  2. Preserve existing comments. If you need to add comments, write them in Chinese.
  3. Keep changes focused. Do not perform broad unrelated refactors.
  4. Use rg / rg --files first when searching.
  5. Use apply_patch for manual file edits.

AI Collaboration Rules

  • Prefer implementing the user's current request directly. Ask only when missing information makes a safe assumption risky.
  • Do not delete user code, comments, or uncommitted changes. If unrelated changes exist, leave them alone.
  • If the user explicitly says not to write tests, do not add tests. Otherwise choose the smallest verification that matches the risk.
  • After UI, layout, color, or copy changes, run the matching lint command. Before committing, run npm run lint and npm run build.
  • Do not add empty abstractions, thin components, thin helpers, or functions that only forward runes state reads or setters.
  • Report changed files and verification commands. Do not claim unverified success.

Git Commit Rules

  • Commit messages must follow Conventional Commits, for example feat: add user filter, fix: handle empty response, or docs: update usage notes.
  • Allowed types are build, chore, ci, docs, feat, fix, refactor, revert, and test.
  • Commit subjects must not use Start Case, PascalCase, or all caps.
  • The project uses a husky commit-msg hook that runs commitlint.
  • The project uses a husky pre-commit hook that runs npm run precommit before each commit.
  • npm run precommit runs lint-staged and checks only staged files.
  • lint-staged formats staged files with prettier --ignore-unknown --write, and runs staged source lint checks for matching src files; do not hand-format around the configured Prettier rules.

Anti-Thin-Wrapper Rule

  • Do not create wrappers that only forward simple runes state reads or setter calls.
  • Add a wrapper only when it contains real semantics such as business rules, defaults, validation, unit conversion, error handling, telemetry, cross-state coordination, or stable reuse from 3+ call sites.
  • If a function only does return state.xxx or state.setXxx(value), inline the state access at the use site.
  • When reading state only to apply a fallback, prefer keeping the fallback explicit at the use site, for example const value = stateValue ?? 0.
  • Before adding any helper, confirm that it adds meaning rather than just another name.

Read the full file on GitHub · 163 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. 2d ago First seen · 163 lines · 2,313 tokens per session scan A 54e8cd633b78

Subscribe to this mod's changes

skill-sync AGENTS.md is an instructions file published in the GitHub repository TreatTrick/skill-sync (4 stars, last pushed 12d ago), licensed MIT. It adds 2,313 tokens to every session, about $0.0116 per session on Opus 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

Other instructions, from other repositories