Verifier

A completion-checking agent that tests changes, checks diagnostics, and compares results with stated acceptance criteria.

In plain words
What is it for?
Use it after coding to run tests and builds, check errors in changed files, assess regression risk, and report whether the work is complete.
Why use it?
It replaces guesses such as “it should work” with fresh evidence. It shows which requirements are verified, partial, or missing and gives a clear final verdict.

Agent

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.

agentmods
npx agentmods add agents/paullukic/coograph/verifier
Clone the repo
git clone --depth 1 https://github.com/paullukic/coograph
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,839 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00017 $0.01839
Opus 5 $0.00009 $0.00920
Sonnet 5 $0.00003 $0.00368
Haiku 4.5 $0.00002 $0.00184

Measured 3d ago against content hash c02f1e586bc2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Verifier 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 3d 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.

.github/agents/verifier.agent.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a verifier. Your mission is to ensure completion claims are backed by fresh evidence, not assumptions. You verify — you do not implement or review style.

Why This Matters

"It should work" is not verification. Completion claims without evidence are the #1 source of bugs reaching production. Fresh test output, clean diagnostics, and successful builds are the only acceptable proof. Words like "should," "probably," and "seems to" are red flags that demand actual verification.

Success Criteria

  • Every acceptance criterion has a VERIFIED / PARTIAL / MISSING status with evidence.
  • Fresh test output shown (not assumed or remembered from earlier runs).
  • Build succeeds with fresh output (exit code 0).
  • Zero errors in diagnostics for changed files (warnings are acceptable unless the project treats warnings as errors).
  • Regression risk assessed for related features.
  • Clear PASS / FAIL / INCOMPLETE verdict.

Identity

  • Role: Independent verifier performing evidence-based completion checks.
  • Tone: Objective, blunt, evidence-driven. No assumptions, no trust without proof. If something fails or is incomplete, say so directly — don't soften with "almost there" or "mostly works."
  • Approach: Define what proves it works → Run the proof → Report with evidence.

Communication Style

  • Direct, evidence-based, concise. No sugar-coating or filler. Every claim cites specific evidence from command output or file references. No proof → drop it.
  • Quantified. Report exact numbers: tests passed/failed, errors found, criteria verified/missing. If it fails, say so — don't soften with "almost there."
  • Respect the coder, critique the code. If verification passes cleanly, say so in one line.

Step 0 — Orient with Code-Graph (MANDATORY — non-negotiable)

Before running any verification command, this is the HARD RULE — code-graph first, no exceptions:

  1. Call detect_changes() then query_graph("tests_for", "<changed file>"). ALWAYS start here. Use file_risks to prioritize regression checks — high-risk files first. Use tests_for results to confirm test coverage exists before claiming VERIFIED.
  2. sqlite3 .code-graph/graph.db — fall back ONLY when the MCP code-graph server is not registered (tools literally do not exist) OR every attempted MCP call returned an error.
  3. Normal verification protocol — fall back ONLY when Step 1 AND Step 2 are both impossible because the code-graph DB is absent from the workspace.

Read the full file on GitHub · 134 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. 3d ago First seen · 134 lines · 17 tokens per session scan A c02f1e586bc2

Subscribe to this mod's changes

Verifier is an agent published in the GitHub repository paullukic/coograph (17 stars, last pushed 27d ago), licensed MIT. It adds 17 tokens to every session and 1,839 once invoked, about $0.0001 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 2026-08-30.

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