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.
npx skills add nortonx/ai-tooling-free --skill fanout-reviewgit clone --depth 1 https://github.com/nortonx/ai-tooling-freeWrote 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.
[](https://agentmods.dev/skills/nortonx/ai-tooling-free/fanout-review)<a href="https://agentmods.dev/skills/nortonx/ai-tooling-free/fanout-review"><img src="https://agentmods.dev/badge/skills/nortonx/ai-tooling-free/fanout-review/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.
<a href="https://agentmods.dev/skills/nortonx/ai-tooling-free/fanout-review"><img src="https://agentmods.dev/badge/skills/nortonx/ai-tooling-free/fanout-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00062 | $0.03847 |
| Opus 5 | $0.00031 | $0.01924 |
| Sonnet 5 | $0.00012 | $0.00769 |
| Haiku 4.5 | $0.00006 | $0.00385 |
Grade A, and why
fanout-review 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.
How it starts
The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code review (multi-perspective)
Review the current branch by dispatching 6 parallel review tasks (one mandate each), then synthesize findings into a categorical merge-gate decision (🚫 BLOCK / ⚠️ NEEDS DISCUSSION / ✅ CLEAR) backed by a risk profile and deterministic blocker checks. Output is designed to paste directly into a PR thread (GitHub, GitLab, or Azure DevOps).
Mode detection
Read the user's invocation prompt:
- Contains
quick,shallow, orfast→ single-pass mode (skip fanout, lean output) - Diff size below ~50 lines AND mode not explicitly stated → ask the user once whether to do single-pass; default to single-pass if unanswered
- Otherwise → fanout mode (default)
Scope detection
Read the user's invocation prompt:
- Mentions
committed,this branch,PR, ormain..HEAD→ scope to committed changes only (git diff main..HEAD) - Mentions
staged→ scope togit diff --cached - Otherwise → include all changes (committed + staged + unstaged)
Base branch resolution, in order:
- If the user's prompt names a branch (
vs feat/X,against develop), use it. - Else
git symbolic-ref refs/remotes/origin/HEADif it resolves. - Else
mainif it exists locally, elsemaster. - If neither exists, stop and ask the user which base to diff against. Do not silently fall back to
HEAD~1.
Fanout mode
Step 1 — Gather diff context
Run (substitute scope from detection above):
git diff <scope> --stat
git diff <scope> --name-status
git log <scope> --no-merges --pretty=format:'%h %s'
Step 2 — Dispatch 6 review tasks in parallel
Use the Agent tool with subagent_type: general-purpose. Send all 6 in a single message with 6 tool calls so they run concurrently. Each subagent receives the diff context, one task description below, and the JSON return contract.
Task descriptions (each subagent receives exactly one):
- security — Find OWASP Top 10 violations, secrets in code, input-validation gaps, authz/authn gaps, injection (SQL/cmd/path), unsafe deserialization, and weak crypto. Use
category: "security"in the return. - performance — Find hotspots, N+1 queries, unnecessary work in loops, allocation pressure, blocking I/O on hot paths, and missing memoization. Use
category: "performance". - breaking-change — For each file in the diff, run
git show <base-branch>:<path>and compare against the new version. Flag changed function signatures (added/removed/renamed params, changed return type), removed exports, schema/migration changes, env-var removals, feature-flag removals, behavior changes in public APIs, and removed config keys. Usecategory: "breaking-change". - test-coverage — Find missing tests for new code paths, untested edge cases (empty/null/boundary), redundant tests, and test-quality issues (AAA, FIRST, flakiness, mocks of external deps). Use
category: "test". - readability — Find naming inconsistencies vs project conventions, unclear variable/function names, missing or excessive comments, magic numbers, and excessive function length/complexity. Use
category: "readability". - dry-solid — Find DRY violations (3+ similar implementations), SOLID violations, dead code, antipatterns, and leaky abstractions. DRY is project priority — weight findings here higher than readability. Use
category: "dry-solid". When a DRY violation spans multiple files, setlocationto the canonical file (the natural home for the extracted abstraction, else first by path order) and list the remaining occurrences induplicate_locations— do not concatenate multiplefile:linesinto onelocationstring.
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.
- 12d ago First seen · 278 lines · 62 tokens per session scan A ad9992338576
fanout-review is a skill published in the GitHub repository nortonx/ai-tooling-free (1 stars, last pushed 28d ago), licensed MIT. It adds 62 tokens to every session and 3,847 once invoked, about $0.0003 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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