record-evidence

record-evidence is a skill for Claude Code, Codex from tmj-90/gaffer. It costs 81 tokens per session (1,633 once invoked), scanned A, original, Apache-2.0.

A process for recording proof that each acceptance criterion—the condition a completed task must satisfy—has been met.

In plain words
What is it for?
Use it after completing a Dispatch ticket to attach test results, coverage reports, branch and change summaries, screenshots, or other evidence to each criterion.
Why use it?
A task may be finished and tested without leaving clear, checkable evidence for reviewers or the delivery process.

Skill for Claude CodeCodex

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

Good fit Use it after completing a Dispatch ticket to attach test results, coverage reports, branch and change summaries, screenshots, or other evidence to each criterion.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tmj-90/gaffer/record-evidence
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 tmj-90/gaffer --skill record-evidence
Clone the repo
git clone --depth 1 https://github.com/tmj-90/gaffer

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 record-evidence

README.md
[![agentmods](https://agentmods.dev/badge/skills/tmj-90/gaffer/record-evidence/github.svg)](https://agentmods.dev/skills/tmj-90/gaffer/record-evidence)
Your own site
<a href="https://agentmods.dev/skills/tmj-90/gaffer/record-evidence"><img src="https://agentmods.dev/badge/skills/tmj-90/gaffer/record-evidence/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 record-evidence

Your own site · 80×15
<a href="https://agentmods.dev/skills/tmj-90/gaffer/record-evidence"><img src="https://agentmods.dev/badge/skills/tmj-90/gaffer/record-evidence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,633 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 $0.00081 $0.01633
Opus 5.5 $0.00032 $0.00653
Sonnet 5.5 $0.00016 $0.00327
Haiku 4.5 $0.00008 $0.00163

Measured 22d ago against content hash ba7542f65806, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

record-evidence 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 22d 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.

runner/skills/record-evidence/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Record acceptance-criterion evidence

Evidence is the bridge between "I claim it works" and "it is demonstrably done". Record one true, specific row per acceptance criterion, plus the smallest-change note, then stop. You do not submit, push or open a PR: the runner runs the gates, records the delivery and submits for review; it pushes and opens a PR only when the operator has enabled that.

Steps (delivery agent)

  1. Commit first. Evidence describes committed work: git status --porcelain must be empty apart from runner-excluded files, and git log -1 --oneline shows your deliver #N: … commit. Note the short SHA for your summaries.
  2. List the ACs. get_ticket → acceptance_criteria: each id, its text, and whether it carries a check_command.
  3. For each AC, find the proof that exercises THAT AC's own behaviour. Name the test file and test name, and say what it asserts. A green suite is not evidence for an AC unless a test in it would fail if the AC were not met. If no such test exists, write it now (and re-run) — do not paper over the gap; reviewers reject an AC without one. For an AC with a check_command, run that exact command yourself first: the runner runs it after you stop, a failure sends the delivery back, and only the runner's own check result can satisfy that AC — your row for it is supporting evidence only.
  4. Record one row per AC with record_ac_evidence: ticket_id, ac_id, evidence_type, and a summary under 5,000 characters. Pick the type that matches the proof: test_output (command + pass summary + the named test), coverage_report, static_analysis (lint/typecheck), diff_summary, commit, screenshot, log, ci_run (a CI run you actually observed), manual_note (a verified observation no command could capture). No claim_token is needed; the runner injects it. Recording with an ac_id marks that AC satisfied (an AC with a check_command is still not done until the runner's own check passes), so only record what is true. A good summary: "pnpm test src/lock.test.ts → 14 passed. two concurrent saves both persist fires 2 writers via Promise.all and asserts both records exist (AC2). abc123f".
  5. Record the smallest-change note — one manual_note row with NO ac_id, whose summary starts smallest-change check: and names the files you changed by file name, what you cut or refused, and why this size is the floor. The runner scans evidence for the phrase "smallest-change" (or "smallest change"), uses the MOST RECENT such row (its own needs_human_review flags excluded), and flags one that names none of the changed files (by file name or a stem of four or more characters) as boilerplate. Record it once, after your final edit. This is the same line the self-review skill asks for: if you already recorded it in this run, do not repeat it. On a rework or resume, record a fresh note for the diff as it now stands — the newest note is the one the runner reads (on a resume the call is refused; see below). See the minimalism skill.
  6. Record the digest delta with the prepare-digest-delta skill.
  7. Stop. Once every AC has a row, the note and the delta are recorded, you are done. Do not call submit_ticket_for_review, push, open a PR, or keep polishing.

Read the full file on GitHub · 106 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. 22d ago Changed · +59 lines · +5 tokens per session ba7542f65806
  2. 1mo ago First seen · 47 lines · 76 tokens per session scan A cc80981bb9fb

Subscribe to this mod's changes

record-evidence is a skill published in the GitHub repository tmj-90/gaffer (2 stars, last pushed 23d ago), licensed Apache-2.0. It adds 81 tokens to every session and 1,633 once invoked, about $0.0003 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.