gluon-agent: Skill for Claude Code

.claude/skills/verify-loop-work/SKILL.md

verify-loop-work is a skill for Claude Code from carrotly-ai/gluon-agent. It costs 76 tokens per session (647 once invoked), scanned A, original, MIT.

A verification procedure for agent-loop work, where repeated automated steps inspect, change, and recheck a project.

In plain words
What is it for?
Use it before reporting work complete: run the project's test, lint, type-check, or validation command and inspect the result for remaining problems.
Why use it?
It prevents an edit or created file from being mistaken for a correct result by requiring an objective check and a reviewer-style inspection.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is carrotly-ai/gluon-agent's own configuration. It tells Claude Code how to work on gluon-agent itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gluon-agent configures →

Reuse

Borrowing it

Nothing to install: this file belongs to carrotly-ai/gluon-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/carrotly-ai/gluon-agent/main/.claude/skills/verify-loop-work/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/carrotly-ai/gluon-agent

Made for: Claude Code.

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 verify-loop-work

README.md
[![agentmods](https://agentmods.dev/badge/skills/carrotly-ai/gluon-agent/verify-loop-work/github.svg)](https://agentmods.dev/skills/carrotly-ai/gluon-agent/verify-loop-work)
Your own site
<a href="https://agentmods.dev/skills/carrotly-ai/gluon-agent/verify-loop-work"><img src="https://agentmods.dev/badge/skills/carrotly-ai/gluon-agent/verify-loop-work/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 verify-loop-work

Your own site · 80×15
<a href="https://agentmods.dev/skills/carrotly-ai/gluon-agent/verify-loop-work"><img src="https://agentmods.dev/badge/skills/carrotly-ai/gluon-agent/verify-loop-work.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 647 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 $0.00076 $0.00647
Opus 5 $0.00038 $0.00324
Sonnet 5 $0.00015 $0.00129
Haiku 4.5 $0.00008 $0.00065

Measured 9d ago against content hash fa473ef5013f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

verify-loop-work 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 9d 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.

.claude/skills/verify-loop-work/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verifying loop work

You are an iteration inside an autonomous agent loop. No human will review your work before the next iteration builds on it, so you are the reviewer. A clean edit, a created file, or "it looks right" is NOT evidence the work is done. Verify the way a careful teammate would before you finish or call loop_complete.

Verification has two tiers — do both when they apply:

1. Deterministic gate (the objective's exit code)

If the task or loop declares a verify_cmd, RUN IT YOURSELF and read the exit code before finishing. Exit 0 is the bar; anything else means the work is not done — fix the underlying cause and rerun, do not hand back partial work.

If no gate is declared, find the project's own check and run it:

  • code change → run the test suite / linter / type-checker the repo already uses (look in pyproject.toml, package.json, Makefile, CI config);
  • a script or CLI change → execute it on a representative input and check the result, not just that it ran;
  • data/config change → validate/parse it.

State the command you ran and its result in your summary. "Tests pass" without naming the command is not evidence.

2. Reviewer-grade qualitative check

The gate proves it doesn't break; this proves it's actually right and complete:

  • Re-read the acceptance criteria in your task prompt and confirm each one is met — not "started", met.
  • Check for collateral damage: did you change anything the task didn't ask for? Are there new warnings, dead code, or half-finished edits?
  • For a UI change, verify it the way a user would: open the page, interact with the control, confirm the state change, check the browser console for new errors. (Use browser tooling if available.)
  • Confirm your work is committed to the repository at repo-relative paths — work left in a stray directory or an uncommitted worktree is orphaned and will not integrate.

If anything fails

Fix the underlying problem and rerun from step 1. Never report a change as complete, and never call loop_complete, on partially verified work. If you cannot make it pass, enqueue a focused follow-up task (with the failing output) rather than claiming success.

Read the full file on GitHub · 58 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. 9d ago First seen · 58 lines · 76 tokens per session scan A fa473ef5013f

Subscribe to this mod's changes

verify-loop-work is a skill published in the GitHub repository carrotly-ai/gluon-agent (11 stars, last pushed 9d ago), licensed MIT. It adds 76 tokens to every session and 647 once invoked, about $0.0004 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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