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.
npx skills add aeonfun/aeon --skill create-provegit clone --depth 1 https://github.com/aeonfun/aeonWrote 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/skills/aeonfun/aeon/create-prove)<a href="https://agentmods.dev/skills/aeonfun/aeon/create-prove"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/create-prove/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/skills/aeonfun/aeon/create-prove"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/create-prove.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 | $0.00021 | $0.01096 |
| Opus 5.5 | $0.00008 | $0.00438 |
| Sonnet 5.5 | $0.00004 | $0.00219 |
| Haiku 4.5 | $0.00002 | $0.00110 |
Grade A, and why
create-prove 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 15d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
${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
- Parse
${var}intotarget=owner/repo#prandexpected_sha. Reject any value outside the exact grammar above withPROVE_INVALID_TARGET. - Read the PR through
gh api. Require all of the following:- the PR is open;
- its current
head.shaequalsexpected_sha; - its head branch belongs to the same repository, because
gh workflow run --refcannot execute an untrusted fork branch in the base repository; - exactly one changed path matches
skills/<slug>/SKILL.md; - the slug is not
create-prove. Any mismatch exitsPROVE_UNSUPPORTEDorPROVE_STALEwithout a receipt.
- Inspect the changed skill's frontmatter and instructions. Choose the smallest real, non-destructive variable that exercises the changed behavior. If no safe real invocation exists, exit
PROVE_UNSAFErather than inventing evidence. Do not use synthetic credentials or a dry-run mode. - Dispatch the target branch's workflow by filename, with a unique correlation ID whose
dispatch_idmust start with the literal prefixprove-—.github/workflows/aeon.yml's commit-skip guard only recognizes that exact prefix to know this run is being proved, not a normal dispatch, and must not commit or push to the branch it's proving. Getting this prefix wrong silently defeats the immutable-head guarantee this whole skill exists to provide:
Discover the run only by the exact correlated run title, using the same rule asdispatch_id="prove-${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"chain-runner.yml. Never select merely the newest run for that skill. - Wait up to 30 minutes. Require
status=completedandconclusion=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 isPROVE_MISSING_EVIDENCE. - Re-read the PR and require its head SHA still equals
expected_sha. - 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:
Construct the JSON with<!-- 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"} -->jq -cn, then render it on one line. Do not post the receipt until every gate above passes. - End with the target, skill, run ID, run URL, and
PROVE_VERDICT=provenin the captured output.
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.
- 15d ago First seen · 70 lines · 21 tokens per session scan A c9d80641f15d
create-prove is a skill published in the GitHub repository aeonfun/aeon (762 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 1,096 once invoked, about $0.0001 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 2026-09-19.
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