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 blakecyze/kanso --skill kanso-nucleargit clone --depth 1 https://github.com/blakecyze/kansoWrote 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/blakecyze/kanso/kanso-nuclear)<a href="https://agentmods.dev/skills/blakecyze/kanso/kanso-nuclear"><img src="https://agentmods.dev/badge/skills/blakecyze/kanso/kanso-nuclear/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/blakecyze/kanso/kanso-nuclear"><img src="https://agentmods.dev/badge/skills/blakecyze/kanso/kanso-nuclear.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 | $0.00060 | $0.02749 |
| Opus 5 | $0.00030 | $0.01375 |
| Sonnet 5 | $0.00012 | $0.00550 |
| Haiku 4.5 | $0.00006 | $0.00275 |
Grade A, and why
kanso-nuclear 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kanso-nuclear
A structural review that refuses to approve code on the grounds that it works. Where /kanso-audit checks correctness, clarity, consistency, and architecture, this skill is single-minded about structure: whether the change makes the codebase harder to scan a year from now.
The principles from kanso-principles apply, and the standing rule of this skill sharpens them: delete complexity before you move it. A refactor that rearranges the same difficulty is not a refactor — it's relocation.
Always run inline
Findings, the approval gate, refactor handoffs, and the verify result all stay in the calling chat so the user can see them and act on them.
Exception: --fresh for Phase A only
Append --fresh to push the investigation into a read-only subagent (prefer the Explore agent type — read-only by construction). If the harness has no read-only subagent, say so in one line and run Phase A inline; --fresh degrades gracefully. The findings come back as Phase A's output; Phases B (proposal), C (apply), and D (verify) continue inline. Whole-skill context: fork is deliberately not used — only Phase A benefits from fresh context. Use this when the current session has already touched the code — fresh context cuts the anchoring on prior decisions in the transcript. On all-mode runs over large repos, --fresh is usually the right default to keep the main chat readable.
Resolve the scope
$ARGUMENTS selects:
- (empty) or
all→ the whole codebase. The marquee invocation. difforbranch→ commits on the current branch vs upstream ormain.- a path like
src/billing/→ everything under that path.
If diff mode finds nothing staged or committed, fall back to the last commit and tell the user.
Before any review:
- Shape of the repo:
!git ls-files | wc -l - Largest files first (they are the most likely Phase B targets):
!git ls-files | xargs wc -l 2>/dev/null | sort -rn | head -20 - Voice calibration:
!git log -n 20 --oneline - Existing conventions: read
AGENTS.md,CLAUDE.md,CONTRIBUTING.md, linter configs
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 · 199 lines · 60 tokens per session scan A 24e02d98c1e6
kanso-nuclear is a skill published in the GitHub repository blakecyze/kanso (3 stars, last pushed 8d ago), licensed MIT. It adds 60 tokens to every session and 2,749 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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Mutation testing with two engines. Uses the project's NATIVE mutation runner (StrykerJS / Infection / mutmut / PIT / cargo-mutants) when one is configured — installing it on explicit consent when it is not — for a reproducible, comparable score; and an LLM-guided engine for the mutation classes native mutators cannot…
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Structured code review with parallel audit agents, confidence-scored triage, and optional auto-fix. Examines uncommitted changes, staged diffs, commit ranges, or specific paths. Produces a tiered report (MUST-FIX / RECOMMENDED / NIT) backed by evidence, then optionally applies fixes with verification.
db-audit
Database performance and safety audit. 70+ checks across 13 dimensions (DB1-DB13): query patterns, indexes, schema design, connections, transactions, migrations, caching, query optimization, ORM anti-patterns, observability, data lifecycle, DB security, and migration deployment safety. Code-level checks for all ORMs.…
write-tests
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Explores a codebase, researches the problem space, and produces an approved design specification before any code is written. Use when the user wants to create a new feature, add significant functionality, redesign a subsystem, or build something that touches multiple parts of the project.