validate-criterion

validate-criterion is a skill for Claude Code, Codex from cckyros/goal-acceptance. It costs 26 tokens per session (506 once invoked), scanned A, original, MIT.

A tool for recording whether one acceptance criterion passed or failed using evidence from an actual command, file check, or web request.

In plain words
What is it for?
Use it after implementation to attach real test output, file contents, or HTTP results to individual requirements.
Why use it?
It prevents tasks from being marked complete based only on memory or the expectation that something should work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it after implementation to attach real test output, file contents, or HTTP results to individual requirements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cckyros/goal-acceptance/validate-criterion
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 cckyros/goal-acceptance --skill validate-criterion
Clone the repo
git clone --depth 1 https://github.com/cckyros/goal-acceptance

Made for: Claude Code, Codex.

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 validate-criterion

README.md
[![agentmods](https://agentmods.dev/badge/skills/cckyros/goal-acceptance/validate-criterion.svg)](https://agentmods.dev/skills/cckyros/goal-acceptance/validate-criterion)
Your own site
<a href="https://agentmods.dev/skills/cckyros/goal-acceptance/validate-criterion"><img src="https://agentmods.dev/badge/skills/cckyros/goal-acceptance/validate-criterion.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 506 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00026 $0.00506
Opus 5 $0.00013 $0.00253
Sonnet 5 $0.00005 $0.00101
Haiku 4.5 $0.00003 $0.00051

Measured 7d ago against content hash f2873259fcb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

validate-criterion scanned grade A with 1 finding 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 7d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

"evidence": "curl -s localhost:3000/health → 200 {\"status\":\"ok\"}",
assets/skills/validate-criterion/SKILL.md · 62 lines

What it actually says

After executing work, call this to validate each acceptance criterion. Statuses passed and failed require concrete evidence from actual execution.

💡 Fast-path: Use the run_and_validate tool to automatically execute a shell command and record stdout/stderr/exitCode as high-confidence evidence in a single call.

Evidence Requirements

You MUST run the actual command or check before validating. Do NOT validate based on memory, assumption, or "it should work".

method What to do Evidence to provide
command Run the exact command in a shell Paste the real stdout/stderr + exit code
file Read the file and check the content Paste the relevant lines from the file
url Make the HTTP request Paste the response status + body

What NOT to do

  • ❌ Validate passed without running anything
  • ❌ Write "should work" or "looks correct" as evidence
  • ❌ Copy evidence from a previous run without re-running
  • ❌ Use evidence_type=text for a criterion with method=command
  • ❌ Validate before implementation is actually complete

Self-Claimed Status

When role=agent (default), passed criteria are marked selfClaimed=true. This means can_complete_goal will block until an independent reviewer calls confirm_criterion with fresh evidence.

This is by design — your self-assessment is not trusted for completion. Use confirm_criterion (as a separate reviewer agent) to convert self-claimed passes to formal passes.

Example

{
  "criterion_id": "api-200",
  "status": "passed",
  "evidence": "curl -s localhost:3000/health → 200 {\"status\":\"ok\"}",
  "evidence_type": "command"
}
{
  "criterion_id": "api-500",
  "status": "failed",
  "evidence": "curl -s localhost:3000/users → 500 Internal Server Error: TypeError: Cannot read property 'name' of undefined",
  "evidence_type": "command"
}
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. 7d ago First seen · 62 lines · 26 tokens per session scan A f2873259fcb5

Subscribe to this mod's changes

validate-criterion is a skill published in the GitHub repository cckyros/goal-acceptance (3 stars, last pushed 10d ago), licensed MIT. It adds 26 tokens to every session and 506 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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