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 adamwang99/NEUTRON-EVO-OS --skill acceptance_testgit clone --depth 1 https://github.com/adamwang99/NEUTRON-EVO-OSWrote 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/adamwang99/neutron-evo-os/acceptance_test)<a href="https://agentmods.dev/skills/adamwang99/neutron-evo-os/acceptance_test"><img src="https://agentmods.dev/badge/skills/adamwang99/neutron-evo-os/acceptance_test/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/adamwang99/neutron-evo-os/acceptance_test"><img src="https://agentmods.dev/badge/skills/adamwang99/neutron-evo-os/acceptance_test.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 | $0.00003 | $0.00844 |
| Opus 5 | $0.00002 | $0.00422 |
| Sonnet 5 | $0.00001 | $0.00169 |
| Haiku 4.5 | $0.00000 | $0.00084 |
Grade A, and why
acceptance_test 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 10d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🚨 CRITICAL — Auto-Confirm Enforcement (MANDATORY, NOT OPTIONAL)
This rule is ABSOLUTE. Violating it = system failure. There are no exceptions.
How to check (EXACT steps, in order):
STEP 1: Read the file memory/.auto_confirm.json
STEP 2: Decision tree:
IF memory/.auto_confirm.json does NOT exist → go to normal acceptance test below
IF memory/.auto_confirm.json exists AND {"enabled": true} AND {"acceptance": true}:
✅ AUTO-CONFIRM ACTIVE → SKIP EVERYTHING BELOW
✅ Output: "[AUTO-CONFIRM] Acceptance test SKIPPED — auto-confirm is active. Proceeding to /ship."
✅ Log: acceptance auto-passed in memory
✅ Proceed directly to /ship
✅ Do NOT ask user to run any tests. Do NOT ask "does it work for you?".
IF auto-confirm is NOT active:
→ Follow normal acceptance test below (ask user to run tests)
What "SKIP" means:
- ❌ Do NOT ask user to run any test command
- ❌ Do NOT ask "does it work for you?"
- ❌ Do NOT present acceptance criteria checklist
- ❌ Do NOT wait for user verification
- ✅ Proceed immediately to /ship
Acceptance Test Skill — Verify Before Ship
Purpose
Before shipping, the USER must verify that what was built actually solves their problem. This is not unit testing — it's USER testing. The user runs the app and confirms it works.
Philosophy
The AI can write tests. Only the USER can pass acceptance.
- Unit tests: AI writes, CI runs → tells you if code works
- Acceptance tests: USER runs, USER decides → tells you if the RIGHT thing was built
When to Call
After /build step (workflow), before /ship step.
The SPEC.md must have a "USER REVIEW" section with specific acceptance criteria.
Workflow
/spec (write SPEC) → USER REVIEW (user approves SPEC) → /build → /acceptance_test → /ship
Acceptance Test Flow
Step 1 — Load Acceptance Criteria from SPEC.md
Read SPEC.md. Extract all acceptance criteria marked for USER verification. If no criteria defined → ERROR: cannot run acceptance test without measurable criteria.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 104 lines · 3 tokens per session scan A bcb2e2f98466
acceptance_test is a skill published in the GitHub repository adamwang99/NEUTRON-EVO-OS (20 stars, last pushed 4mo ago), licensed MIT. It adds 3 tokens to every session and 844 once invoked, about $0.0000 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 2026-08-30.
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