openfusion: Skill for Claude Code

.agents/skills/scrutinize/SKILL.md

scrutinize is a skill for Claude Code, Codex from hashangit/openfusion. It costs 115 tokens per session (1,087 once invoked), scanned A, original, MIT.

An outside-perspective review method for plans, pull requests, and code changes. It checks both whether the change is worth making and whether the full working path actually delivers what it promises.

In plain words
What is it for?
Use it to review implementation plans, pull requests, and code changes from the original request through the running code. It is also suited to checking whether a smaller or safer solution exists.
Why use it?
It catches unnecessary work, simpler alternatives, and failures that a review of only the changed lines may miss. Findings include the change needed, the reason, and the supporting evidence.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is hashangit/openfusion's own configuration. It tells Claude Code and Codex how to work on openfusion 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 openfusion configures →

Reuse

Borrowing it

Nothing to install: this file belongs to hashangit/openfusion. 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/hashangit/openfusion/main/.agents/skills/scrutinize/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/hashangit/openfusion

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 scrutinize

README.md
[![agentmods](https://agentmods.dev/badge/skills/hashangit/openfusion/scrutinize/github.svg)](https://agentmods.dev/skills/hashangit/openfusion/scrutinize)
Your own site
<a href="https://agentmods.dev/skills/hashangit/openfusion/scrutinize"><img src="https://agentmods.dev/badge/skills/hashangit/openfusion/scrutinize/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 scrutinize

Your own site · 80×15
<a href="https://agentmods.dev/skills/hashangit/openfusion/scrutinize"><img src="https://agentmods.dev/badge/skills/hashangit/openfusion/scrutinize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,087 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 $0.00115 $0.01087
Opus 5.5 $0.00046 $0.00435
Sonnet 5.5 $0.00023 $0.00217
Haiku 4.5 $0.00012 $0.00109

Measured 2mo ago against content hash 90e4d2834b1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

scrutinize 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 2mo 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.

.agents/skills/scrutinize/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scrutinize

Stand outside the change and ask whether it should exist at all, then verify it actually does what it claims end-to-end.

Operating stance

  • Outsider. Forget who wrote it and why they think it's right. Read the artifact cold.
  • End-to-end, not diff-local. The diff is the entry point, not the scope. Follow the call graph through real code paths.
  • Actionable, concise, with rationale. Every finding states what to change, why, and what evidence led you there. No filler, no restating the diff back.

Workflow

Run these in order. Do not skip ahead.

1. Intent — what is this actually trying to do?

  • State the goal in one sentence, in your own words. If you cannot, the artifact is underspecified — say so and stop.
  • Ask: is there a simpler, smaller, or more elegant way to achieve the same goal? Consider:
    • Doing nothing (is the problem real / load-bearing?).
    • Using something that already exists in the codebase instead of adding new surface.
    • A smaller change that solves 90% of the goal with 10% of the risk.
    • Solving it at a different layer (config vs code, framework vs app, build vs runtime).
  • If a better alternative exists, name it explicitly with rationale. This is the most valuable thing you can output — surface it before the line-by-line review.

2. Trace — walk the actual code path

  • For each behavior the change claims, trace the path end-to-end through the real code, not just the lines in the diff:
    • Entry point → call sites → branches taken → state mutated → exit / return / side effect.
    • Include the unchanged code on either side of the diff. Bugs hide at the seams.
  • For a plan or design doc: trace the proposed flow against the existing system. Where does it touch reality? What does it assume that isn't true?
  • Note every place the trace surprises you (unexpected branch, dead code reached, state you didn't know existed). Surprises are signal.

3. Verify — does it actually do what it claims?

For each claim the change/plan makes, answer:

Read the full file on GitHub · 66 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. 2mo ago First seen · 66 lines · 115 tokens per session scan A 90e4d2834b1f

Subscribe to this mod's changes

scrutinize is a skill published in the GitHub repository hashangit/openfusion (35 stars, last pushed 3d ago), licensed MIT. It adds 115 tokens to every session and 1,087 once invoked, about $0.0005 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 2026-08-30.

Related

scrutinize compared with skills from other repositories

scrutinize next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
scrutinizehashangit/openfusionSkill353d agoMITA115Claude Code, Codex
autoreviewopenclaw/clawhubSkill9.5kyesterdayMITA17Claude Code, Codex
agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skillsSkill2.2k6d agoMITA115Claude Code, Codex
omh-code-reviewrlaope/oh-my-hermesSkill5.2kyesterdayMITA48Claude Code, Codex
revdiff-planumputun/revdiffSkill945yesterdayMITA84Claude Code
explore-unknownsdzhng/skillsSkill1.4k2d agoMITA162Claude Code, Codex
re0-mergeLilMGenius/paperthinSkill1.4k4d agoMITA70Claude Code