uat-reopen-intake

uat-reopen-intake is a skill for Claude Code, Codex from Gesondian/ai-collab-governance-skills. It costs 35 tokens per session (588 once invoked), scanned A, original, MIT.

An intake process for reopening a previously accepted user-acceptance test or review result when someone challenges it.

In plain words
What is it for?
It helps recheck the accepted scope, classify the failure, record missing evidence, and assign the next exact verification task to the appropriate owner.
Why use it?
It prevents an agent from silently fixing or re-accepting disputed work before checking what was actually tested. It identifies the smallest failing check and the missing proof.

Skill for Claude CodeCodex

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

Good fit It helps recheck the accepted scope, classify the failure, record missing evidence, and assign the next exact verification task to the appropriate owner.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gesondian/ai-collab-governance-skills/uat-reopen-intake
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 Gesondian/ai-collab-governance-skills --skill uat-reopen-intake
Clone the repo
git clone --depth 1 https://github.com/Gesondian/ai-collab-governance-skills

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 uat-reopen-intake

README.md
[![agentmods](https://agentmods.dev/badge/skills/gesondian/ai-collab-governance-skills/uat-reopen-intake/github.svg)](https://agentmods.dev/skills/gesondian/ai-collab-governance-skills/uat-reopen-intake)
Your own site
<a href="https://agentmods.dev/skills/gesondian/ai-collab-governance-skills/uat-reopen-intake"><img src="https://agentmods.dev/badge/skills/gesondian/ai-collab-governance-skills/uat-reopen-intake/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 uat-reopen-intake

Your own site · 80×15
<a href="https://agentmods.dev/skills/gesondian/ai-collab-governance-skills/uat-reopen-intake"><img src="https://agentmods.dev/badge/skills/gesondian/ai-collab-governance-skills/uat-reopen-intake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 588 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 $0.00035 $0.00588
Opus 5 $0.00017 $0.00294
Sonnet 5 $0.00007 $0.00118
Haiku 4.5 $0.00003 $0.00059

Measured 12d ago against content hash c857a8a2bc65, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

uat-reopen-intake 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 12d 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.

skills/uat-reopen-intake/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UAT Reopen Intake

Core Principle

When a user challenges an accepted result, the AI must not directly fix, directly re-accept, or silently widen the acceptance scope. It must first decide what failed, what evidence is missing, and who owns the smallest next action.

Required Inputs

  • Original receipt or acceptance summary.
  • User challenge or reopen reason.
  • Evidence actually covered by the original receipt.
  • Current failing signal, if any.
  • Candidate owner or lane, if known.

Intake Flow

  1. Run accepted_scope_recheck: list the route, surface, viewport, data, assertion level, fact source, and receipt identity that were actually covered.
  2. Identify the failed_gate_min candidate: the smallest reproducible gate that contradicts the prior acceptance.
  3. Classify failure_type:
    • missing_evidence
    • scope_overclaim
    • real_regression
    • owner_boundary_unclear
    • environment_or_harness_gap
    • user_expectation_delta
  4. Record missing_evidence: what proof is required before any new acceptance claim.
  5. Make next_owner_decision: who should act next, and what exact gate they must satisfy.

Allowed Verdicts

Verdict Meaning
reopen_required The challenge exposes a real gap in the prior acceptance scope.
needs_failed_gate_min The challenge is plausible but lacks the smallest reproducible failing gate.
needs_evidence The request needs more evidence before ownership or acceptance can be decided.
reroute_owner The issue belongs to a different owner based on mechanism attribution.
no_reopen_from_current_evidence Current evidence does not contradict the prior bounded receipt.

Output Contract

verdict:
accepted_scope_recheck:
failed_gate_min_candidate:
failure_type:
missing_evidence:
next_owner_decision:
return_owner_on_fail:
must_not_claim:
remaining_risks:

Common Mistakes

  • Treating a user challenge as permission to immediately patch code.
  • Saying accepted again without re-checking what was originally covered.
  • Using a broad complaint as proof that all related surfaces failed.
  • Assigning owner based only on the file where code lives.
  • Collapsing environment or harness gaps into product failure.

Read the full file on GitHub · 69 lines

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. 12d ago First seen · 69 lines · 35 tokens per session scan A c857a8a2bc65

Subscribe to this mod's changes

uat-reopen-intake is a skill published in the GitHub repository Gesondian/ai-collab-governance-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 588 once invoked, about $0.0002 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 2026-08-31.

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