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 Pixel-Process-UG/superkit-agents --skill acceptance-testinggit clone --depth 1 https://github.com/Pixel-Process-UG/superkit-agentsWrote 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/pixel-process-ug/superkit-agents/acceptance-testing)<a href="https://agentmods.dev/skills/pixel-process-ug/superkit-agents/acceptance-testing"><img src="https://agentmods.dev/badge/skills/pixel-process-ug/superkit-agents/acceptance-testing/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/pixel-process-ug/superkit-agents/acceptance-testing"><img src="https://agentmods.dev/badge/skills/pixel-process-ug/superkit-agents/acceptance-testing.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 | $0.00052 | $0.01990 |
| Opus 5.5 | $0.00021 | $0.00796 |
| Sonnet 5.5 | $0.00010 | $0.00398 |
| Haiku 4.5 | $0.00005 | $0.00199 |
Grade A, and why
acceptance-testing 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 1mo 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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Acceptance Testing
Overview
Acceptance-driven backpressure connects specification acceptance criteria directly to test requirements, creating a validation chain that prevents premature completion claims. The system cannot cheat — you cannot claim a feature is done unless tests derived from spec acceptance criteria actually pass.
Announce at start: "I'm using the acceptance-testing skill to validate against specification criteria."
The Backpressure Chain
+------------+ derives +------------+ validates +------------+
| SPECS |---------------->| TESTS |---------------->| CODE |
| | | | | |
| Acceptance | | Test cases | | Must pass |
| Criteria | | from AC | | all tests |
+------------+ +------------+ +------------+
^ |
| backpressure |
+--------------------------------------------------------------+
If tests fail, implementation must change (not the spec or test)
Phase 1: Extract Acceptance Criteria
Goal: From each specification file, extract all Given/When/Then acceptance criteria.
Actions
- Locate all specification files (
specs/*.md) - Extract every acceptance criterion with its ID
- Document in structured format
Example Extraction
## From spec: 01-color-extraction.md
### AC-1: Extract dominant colors
- Given an uploaded image (PNG, JPG, or WebP)
- When color extraction is triggered
- Then 5-10 dominant colors are returned
- And each color includes hex, RGB, and HSL representations
### AC-2: Handle invalid images
- Given a corrupted or unsupported file
- When color extraction is attempted
- Then an appropriate error is returned
- And no partial results are produced
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.
- 1mo ago First seen · 233 lines · 52 tokens per session scan A f61164e664ea
acceptance-testing is a skill published in the GitHub repository Pixel-Process-UG/superkit-agents (3 stars, last pushed 7mo ago), licensed MIT. It adds 52 tokens to every session and 1,990 once invoked, about $0.0002 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 2026-08-31.
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