Agent skill

Agents Md Improver

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Maintain AGENTS.md-based project instructions for tools that support AGENTS.md.

Apache-2.0Auto-check passedAgent Workflows

Install Agents Md Improver

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill agents-md-improver -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins agents-md-improver --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/yyykf/spellbook-skills/skills/agents-md-improver .claude/skills/agents-md-improver && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agents-md-improver
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
664 words
Files
3 (incl. references)
Skills in repo
686
Repo updated
First seen
Licence
Apache-2.0

At a glance

Maintain AGENTS.md-based project instructions for tools that support AGENTS.md.

  • Works in 5 steps: Identify Instruction Targets → Choose The Mode → Draft Compact Updates → …
  • Instruction audits
  • SKILL.md covers Overview, Prerequisites, Workflow and Common Mistakes, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agents Md Improver is an agent skill from hashgraph-online/awesome-codex-plugins. Maintain AGENTS.md-based project instructions for tools that support AGENTS.md. Use for instruction audits, session learnings, AGENTS.md updates, or migrating useful CLAUDE.md rules into a shared instruction source. Not for general docs, code review, runtime debugging, or global memory unless asked.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/repository-audit.md` and `references/session-learning.md`).

It sits in Agent Workflows, covering Agent instruction files and Customer support. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • Instruction audits
  • Session learnings
  • AGENTS.md updates
  • Migrating useful CLAUDE.md rules into a shared instruction source

Example prompts

  • “/agents-md-improver”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Identify Instruction Targets
  2. Choose The Mode
  3. Draft Compact Updates
  4. Propose Before Editing
  5. Apply Carefully

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agents Md Improver loads about 1.5k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 664 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 664 words, ~1,548 tokens.

Download SKILL.mdSave it as .claude/skills/agents-md-improver/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
agents-md-improver
description
Maintain AGENTS.md-based project instructions for tools that support AGENTS.md. Use for instruction audits, session learnings, AGENTS.md updates, or migrating useful CLAUDE.md rules into a shared instruction source. Not for general docs, code review, runtime debugging, or global memory unless asked.

AGENTS.md Improver

Overview

Maintain concise project instructions for AGENTS.md-compatible tools such as Codex, Copilot, Cursor, and similar coding agents.

Core principle: Find the effective instruction source -> extract durable learnings -> propose compact diffs -> apply approved changes only.

Announce at start: "I'm using the agents-md-improver skill to maintain concise AGENTS.md project instructions."

Prerequisites

  • A repository or workspace with AGENTS.md, nested AGENTS.md, or compatible instruction files.
  • A user request to audit, improve, revise, migrate, or capture learnings into project instructions.

Workflow

Phase 1: Identify Instruction Targets

Find instruction files from the repository root:

bash
find . \( -name "AGENTS.md" -o -name "CLAUDE.md" -o -name ".claude.local.md" \) 2>/dev/null | head -50

Use these targeting rules:

  • ./AGENTS.md: primary shared project instructions for AGENTS.md-compatible tools.
  • Nested AGENTS.md: module-specific instructions; update only when the learning applies to that subtree.
  • Include-only AGENTS.md: if it contains only an include such as @./CLAUDE.md, read the target and treat that target as the effective source. Update the target only when the repository intentionally shares one instruction file across tools.
  • CLAUDE.md: Claude Code-specific instructions, or a shared source when AGENTS.md intentionally points to it. Do not update it just because it exists.
  • .claude.local.md: personal Claude Code local notes. Do not create or edit it for shared AGENTS.md project memory.
  • User/global instruction files, such as ~/.codex/AGENTS.md: update only when the user explicitly asks for global behavior.
  • .project_context/: historical exploration, plans, and execution summaries. Use it for trace records, not agent steering instructions.

If no AGENTS.md exists, propose creating the narrowest useful one, usually ./AGENTS.md.

Phase 2: Choose The Mode

Choose exactly one primary mode before scanning or proposing edits:

  • Repository Audit Mode: use when the user asks whether instructions are stale, incomplete, inaccurate, outdated, or should be refreshed against the current repository. Then read references/repository-audit.md.
  • Session Learning Mode: use when the user asks to capture this session's learnings, revise instructions from the current conversation, or preserve newly discovered repo-specific behavior. Then read references/session-learning.md.
  • Migration Mode: use when moving useful guidance from CLAUDE.md or another tool-specific instruction file into an AGENTS.md-compatible source. Reuse Session Learning Mode for extraction rules, but keep tool-only slash commands, hooks, or UI shortcuts in tool-specific files unless the user asks to make them shared.
Phase 3: Draft Compact Updates

AGENTS.md is prompt context. Prefer dense, operational bullets.

Good format:

markdown
- Use `rg` for repo-wide search; fall back only if unavailable.
- Run `pnpm test -- --runInBand` for flaky integration tests in this repo.
- Keep API compatibility normalization in the service layer unless a spec explicitly changes request validation.

Avoid adding:

  • generic engineering advice;
  • one-off debugging details unlikely to recur;
  • unverified assumptions or stale guesses;
  • long explanations, logs, secrets, tokens, private URLs, or machine-specific credentials;
  • duplicates of existing instructions.
Show full SKILL.md (271 more words)Show less
Phase 4: Propose Before Editing

Always show proposed changes before modifying files. Group proposals by target file.

Use this format:

markdown
### Update: ./AGENTS.md

Why: <one-line reason this helps future agent sessions>

```diff
+ <concise addition>
```

If multiple files could be updated, explain the placement tradeoff:

  • root AGENTS.md for project-wide behavior;
  • nested AGENTS.md for module-local behavior;
  • .project_context/ for historical records;
  • CLAUDE.md only for Claude Code-specific behavior or an intentional shared source.

Ask for approval before editing. If the user already explicitly said to apply changes, proceed with the smallest safe patch.

Phase 5: Apply Carefully

When approved:

  • use minimal patches and preserve the file's existing organization;
  • insert under an existing relevant heading when possible;
  • create a short new heading only if no suitable section exists;
  • do not reorder unrelated content;
  • do not remove or rewrite existing instructions unless the user asked for cleanup or the instruction is clearly obsolete;
  • after editing, re-read the changed section and report exactly what changed.

Common Mistakes

  • Treating .project_context/ as agent steering context. It is for traceability, not instructions that should load every session.
  • Updating CLAUDE.md for a shared AGENTS.md request when the repo does not intentionally share one source file.
  • Missing an include-only AGENTS.md and patching the wrapper instead of the effective source.
  • Capturing logs, secrets, private URLs, or one-off debugging notes as durable instructions.
  • Adding broad best practices that any competent agent already knows.

Output

For Repository Audit Mode, provide the quality report format from references/repository-audit.md.

For Session Learning Mode or Migration Mode, provide:

  • files changed;
  • concise summary of additions;
  • any skipped proposals and why.

References

  • repository-audit.md - Repository scan scope, quality criteria, and report template for stale or incomplete instructions.
  • session-learning.md - Session learning extraction rules and concise update proposal template.

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in plugins/yyykf/spellbook-skills/skills/agents-md-improver of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • references/repository-audit.md
  • references/session-learning.md

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Agents Md Improver next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agents Md Improver compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Claude ReflectBayramAnnakov/claude-reflect1.7k2 repos~627Automated safety check: PassMIT
Writing For Agentsbestofjs/bestofjs3.1k19 repos~2.7kAutomated safety check: PassMIT
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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Categories

Questions about Agents Md Improver

What does Agents Md Improver do?

Maintain AGENTS.md-based project instructions for tools that support AGENTS.md. Agents Md Improver is an agent skill from hashgraph-online/awesome-codex-plugins.md.

When should I use Agents Md Improver?

Agents Md Improver fits situations like: instruction audits; session learnings; AGENTS.md updates; migrating useful CLAUDE.md rules into a shared instruction source.

How do I install Agents Md Improver in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill agents-md-improver -a claude-code`. Or copy the skill folder (plugins/yyykf/spellbook-skills/skills/agents-md-improver in hashgraph-online/awesome-codex-plugins) into .claude/skills/agents-md-improver in your project. Claude Code loads it when a task matches its description.

How do I install Agents Md Improver in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill agents-md-improver -a codex`. Or copy the skill folder (plugins/yyykf/spellbook-skills/skills/agents-md-improver in hashgraph-online/awesome-codex-plugins) into .agents/skills/agents-md-improver in your project. Codex loads it when a task matches its description.

Can I use Agents Md Improver in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill agents-md-improver -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agents-md-improver, .gemini/skills/agents-md-improver, .github/skills/agents-md-improver and .opencode/skills/agents-md-improver in your project.

What does Agents Md Improver need to run?

SKILL.md names no scripts, command-line tools or credentials: Agents Md Improver is instructions for the agent only.

Does Agents Md Improver access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agents Md Improver safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agents Md Improver use?

Agents Md Improver is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agents Md Improver use?

About 1.5k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Agents Md Improver?

Skills that share tags, products or a category with Agents Md Improver: Using Agent Skills (addyosmani/agent-skills, 103k stars), Claude Reflect (BayramAnnakov/claude-reflect, 1.7k stars), Writing For Agents (bestofjs/bestofjs, 3.1k stars) and Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agents Md Improver?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.