Agent skill

Create Prove

by aeonfun in aeonfun/aeon

Run a changed Aeon skill for real and attach SHA-bound behavioral evidence to its PR

MITAuto-check passed

Install Create Prove

skills CLI
$ npx skills add aeonfun/aeon --skill create-prove -a claude-code

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

GitHub CLI
$ gh skill install aeonfun/aeon create-prove --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/aeonfun/aeon.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/create-prove .claude/skills/create-prove && 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
create-prove
GitHub stars
767
Token cost
~1.2k tokens
SKILL.md length
547 words
Files
1
Skills in repo
82
Repo updated
First seen
Licence
MIT

At a glance

Run a changed Aeon skill for real and attach SHA-bound behavioral evidence to its PR

  • Works in 8 steps: Parse ${var} into target=owner/repo#pr… → Read the PR through gh api. Require all… → Inspect the changed skill's frontmatter… → …
  • SKILL.md covers Scope, Steps, Constraints and Network note, plus 1 more section
  • Calls gh and jq; reaches github.com

What it does

Create Prove is an agent skill from aeonfun/aeon. Run a changed Aeon skill for real and attach SHA-bound behavioral evidence to its PR

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: The most autonomous AI agent framework: runs unattended on GitHub Actions, self-healing skills, drives Claude Code, Grok, Codex & more. No approval loops. Configure once, forget… The licence is MIT.

Example prompts

  • “/create-prove”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Parse ${var} into target=owner/repo#pr and expected_sha. Reject any value outside the exact grammar above with PROVE_INVALID_TARGET.
  2. Read the PR through gh api. Require all of the following
  3. Inspect the changed skill's frontmatter and instructions. Choose the smallest real, non-destructive variable that exercises the changed…
  4. Dispatch the target branch's workflow by filename, with a unique correlation ID whose dispatch_id must start with the literal prefix…
  5. Wait up to 30 minutes. Require status=completed and conclusion=success. Fetch the run log and the captured skill output. Confirm the…
  6. Re-read the PR and require its head SHA still equals expected_sha.
  7. Post one PR comment containing a concise description of the exercised path, the run URL, a short output excerpt, and exactly one final…
  8. End with the target, skill, run ID, run URL, and PROVE_VERDICT=proven in the captured output.

What it can do on your machine

Read from SKILL.md and the folder at commit f252074. 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

    Shell commands in SKILL.md call:

    • gh
    • jq

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    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

Create Prove loads about 1.2k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 547 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 aeonfun/aeon at commit f252074, republished under its MIT licence (© aeonfun). 547 words, ~1,155 tokens.

Download SKILL.mdSave it as .claude/skills/create-prove/SKILL.md (or your agent's skills folder).
name
create-prove
description
Run a changed Aeon skill for real and attach SHA-bound behavioral evidence to its PR
metadata.title
Create Prove
metadata.category
dev
metadata.mode
write
metadata.tags
dev, verification
metadata.permissions
contents:read, actions:write, pull-requests:write
metadata.commits
false

${var} - Required immutable target in the form owner/repo#pr@40-character-lowercase-sha.

Today is ${today}. Prove the behavior of one Aeon-shaped change by running the changed skill through the target repository's real aeon.yml workflow. A green diff review is not proof. A successful, correlated Actions run is proof.

Scope

This first implementation supports Aeon-shaped pull requests that change exactly one runnable skills/<slug>/SKILL.md. It does not launch conventional applications and it does not guess which skill represents a workflow-only or configuration-only change. Unsupported target shapes must fail closed without posting a proof receipt.

Never prove create-prove by recursively dispatching itself. Exit PROVE_UNSUPPORTED instead.

Steps

  1. Parse ${var} into target=owner/repo#pr and expected_sha. Reject any value outside the exact grammar above with PROVE_INVALID_TARGET.
  2. Read the PR through gh api. Require all of the following:
    • the PR is open;
    • its current head.sha equals expected_sha;
    • its head branch belongs to the same repository, because gh workflow run --ref cannot execute an untrusted fork branch in the base repository;
    • exactly one changed path matches skills/<slug>/SKILL.md;
    • the slug is not create-prove. Any mismatch exits PROVE_UNSUPPORTED or PROVE_STALE without a receipt.
  3. Inspect the changed skill's frontmatter and instructions. Choose the smallest real, non-destructive variable that exercises the changed behavior. If no safe real invocation exists, exit PROVE_UNSAFE rather than inventing evidence. Do not use synthetic credentials or a dry-run mode.
  4. Dispatch the target branch's workflow by filename, with a unique correlation ID whose dispatch_id must start with the literal prefix prove- — .github/workflows/aeon.yml's commit-skip guard only recognizes that exact prefix to know this run is being proved, not a normal dispatch, and must not commit or push to the branch it's proving. Getting this prefix wrong silently defeats the immutable-head guarantee this whole skill exists to provide:
    bash
    dispatch_id="prove-${pr_number}-$(date -u +%Y%m%dT%H%M%SZ)-${RANDOM}"
    gh workflow run aeon.yml --repo "$repo" --ref "$head_branch" \
      -f skill="$skill" -f var="$proof_var" -f dispatch_id="$dispatch_id"
    Discover the run only by the exact correlated run title, using the same rule as chain-runner.yml. Never select merely the newest run for that skill.
  5. Wait up to 30 minutes. Require status=completed and conclusion=success. Fetch the run log and the captured skill output. Confirm the output is non-empty and does not contain _No output captured._. A successful Actions wrapper with no captured behavior is PROVE_MISSING_EVIDENCE.
  6. Re-read the PR and require its head SHA still equals expected_sha.
  7. Post one PR comment containing a concise description of the exercised path, the run URL, a short output excerpt, and exactly one final machine receipt:
    text
    <!-- aeon-proof:{"schema":1,"target":"owner/repo#N","sha":"<sha>","kind":"aeon-skill","skill":"<slug>","evidence_run_id":123,"evidence_url":"https://github.com/owner/repo/actions/runs/123","verdict":"proven"} -->
    Construct the JSON with jq -cn, then render it on one line. Do not post the receipt until every gate above passes.
  8. End with the target, skill, run ID, run URL, and PROVE_VERDICT=proven in the captured output.
Show full SKILL.md (118 more words)Show less

Constraints

  • The proof run must execute the PR head branch, not main.
  • Never treat CI checks, source inspection, or the prior review receipt as behavioral evidence.
  • Never post a proven receipt for a failed, cancelled, timed-out, stale, empty-output, unsupported, or unsafe run.
  • Do not merge, close, approve, or modify the target PR.
  • Do not commit repository files.

Network note

Use gh for every GitHub read, dispatch, log fetch, and PR comment. Authentication is provided by the workflow. Never print tokens or place secret values on a command line.

Log

Append the result to memory/logs/${today}.md under ### create-prove, including the target, SHA, selected skill, evidence run ID, and terminal verdict. The workflow may persist the captured output on your behalf.

© aeonfun, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/create-prove of aeonfun/aeon.

Open the folder on GitHubat commit f252074

Compare with similar skills

Create Prove 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.

Create Prove compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Create Prove this skillaeonfun/aeon767—~1.2kAutomated safety check: PassMIT
Change Spf Behaviorvideojs/video.js40k—~451Automated safety check: PassCustom licence
Orch Change Featureaffaan-m/ECC274k1 repos~420Automated safety check: PassMIT
Gh Attachsickn33/agentic-awesome-skills47k1 repos~1.6kAutomated safety check: PassMIT
Announcing Behavior ChangesPostHog/posthog-foss721—~2.7kAutomated safety check: PassMIT
Make Changesremix-run/remix33k—~2.4kAutomated safety check: PassMIT

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Questions about Create Prove

What does Create Prove do?

Run a changed Aeon skill for real and attach SHA-bound behavioral evidence to its PR. Create Prove is an agent skill from aeonfun/aeon.

How do I install Create Prove in Claude Code?

Run `npx skills add aeonfun/aeon --skill create-prove -a claude-code`. Or copy the skill folder (skills/create-prove in aeonfun/aeon) into .claude/skills/create-prove in your project. Claude Code loads it when a task matches its description.

How do I install Create Prove in Codex?

Run `npx skills add aeonfun/aeon --skill create-prove -a codex`. Or copy the skill folder (skills/create-prove in aeonfun/aeon) into .agents/skills/create-prove in your project. Codex loads it when a task matches its description.

Can I use Create Prove 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 aeonfun/aeon --skill create-prove -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-prove, .gemini/skills/create-prove, .github/skills/create-prove and .opencode/skills/create-prove in your project.

What does Create Prove need to run?

Going by SKILL.md and its folder, Create Prove needs the command-line tools its instructions call (gh and jq).

Does Create Prove access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Create Prove 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 Create Prove use?

Create Prove is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Create Prove use?

About 1.2k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Create Prove?

Skills that share tags, products or a category with Create Prove: Change Spf Behavior (videojs/video.js, 40k stars), Orch Change Feature (affaan-m/ECC, 274k stars), Gh Attach (sickn33/agentic-awesome-skills, 47k stars) and Announcing Behavior Changes (PostHog/posthog-foss, 721 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Create Prove?

aeonfun (a GitHub organization) maintains it in aeonfun/aeon, which has 767 GitHub stars. The repository holds 82 skills in this directory. The repository was last updated on October 6, 2026.

Source: aeonfun/aeon on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.