evaluate-acceptance-criteria

evaluate-acceptance-criteria is a skill for Claude Code from Jamie-BitFlight/claude_skills. It costs 44 tokens per session (168 once invoked), scanned A, original, MIT.

A structured way to run acceptance checks and record what actually happened. Acceptance checks are tests or other conditions used to decide whether a change meets its requirements.

In plain words
What is it for?
Use it before and after changes to run specified checks, capture commands and results, compare criteria one by one, and report observed outcomes.
Why use it?
It preserves a clear baseline and distinguishes a real regression from an expected pre-existing failure or a check that could not run.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the dh plugin — 70 skills, 29 agents shipped together

Good fit Use it before and after changes to run specified checks, capture commands and results, compare criteria one by one, and report observed outcomes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jamie-bitflight/claude_skills/evaluate-acceptance-criteria
Install

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.

Any agent
npx skills add Jamie-BitFlight/claude_skills --skill evaluate-acceptance-criteria
Clone the repo
git clone --depth 1 https://github.com/Jamie-BitFlight/claude_skills

Made for: Claude Code.

Or install dh, the plugin that ships this one along with the rest of its 70 skills, 29 agents.

Wrote 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.

agentmods badge for evaluate-acceptance-criteria

README.md
[![agentmods](https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/evaluate-acceptance-criteria/github.svg)](https://agentmods.dev/skills/jamie-bitflight/claude_skills/evaluate-acceptance-criteria)
Your own site
<a href="https://agentmods.dev/skills/jamie-bitflight/claude_skills/evaluate-acceptance-criteria"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/evaluate-acceptance-criteria/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.

agentmods 80×15 button for evaluate-acceptance-criteria

Your own site · 80×15
<a href="https://agentmods.dev/skills/jamie-bitflight/claude_skills/evaluate-acceptance-criteria"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/evaluate-acceptance-criteria.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 168 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.00168
Opus 5.5 $0.00018 $0.00067
Sonnet 5.5 $0.00009 $0.00034
Haiku 4.5 $0.00004 $0.00017

Measured 28d ago against content hash 1e983ad0fb3d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

evaluate-acceptance-criteria 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 28d 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.

plugins/development-harness/skills/evaluate-acceptance-criteria/SKILL.md · 8 lines

What it actually says

Evaluate Acceptance Criteria

Resolve the structured acceptance criteria and their executable checks. Run each check in the specified environment without changing the system merely to make it pass. Record command/check identity, exit/result, relevant output, and observation time. A nonzero or failing result is an observation, not a harness failure, unless the check itself could not execute. When a baseline is supplied, compare criterion-by-criterion and distinguish improvement, unchanged state, regression, and unexecutable evidence. Return machine-comparable per-criterion observations plus an overall verdict only when the caller's acceptance policy defines one.

Files

What ships with it

1 file 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.

Changes

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.

  1. 28d ago First seen · 8 lines · 44 tokens per session scan A 1e983ad0fb3d

Subscribe to this mod's changes

evaluate-acceptance-criteria is a skill published in the GitHub repository Jamie-BitFlight/claude_skills (67 stars, last pushed 4d ago), licensed MIT. It adds 44 tokens to every session and 168 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 2026-09-26.

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