blast-radius
Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of…
Skill by YunosukeYoshino
Chalk Labs
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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What's inside
- Skill name
blast-radius- Description
- Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', or reviewing a small diff you don't trust.
- License
- MIT
- Instructions
- 46 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Blast radius Find what a change breaks somewhere else, before it ships. Use for "blast radius of X", "what could this break", or reviewing a small diff you don't trust yet. Companion to `how` and `why`. `how` tells you what the code does. `why` tells you why it's shaped that way. Blast radius tells you what it breaks somewhere else. Listing the callers is not the job. The agent can grep those in a second. The job is the breakage grep won't show you. ## Don't trust your own writeup A blast-radius writeup that sounds right is worthless. It reads as convincing whether or not it's true. So don't hand back the writeup. Find the one or two facts the whole thing depends on and prove them by running code. ### How sure are you For each fact the change's safety depends on, get it as far down this list as is cheap, and say where it stopped. 1. You said so. Worthless on its own. 2. You pointed at the line. A real `file:line`, or the library's own source. 3. You showed the bad case can't happen. You walked the failure step by step and it doesn't reach. 4. You ran it. A script or test that calls the real code and fails loud if you're wrong. 5. You reproduced it in the running app. Any safety fact you can't get to step 4, say so. Don't write it up as settled. Step 4 is usually one small script that imports the same library the app ships and calls the exact function you're worried about. ## Steps 1. Read the change. The diff, the symbols it adds, changes, and deletes, and what it now does differently, including the part the diff doesn't spell out. Use `why` step 2 to pull the PR and commits. 2. Find the one fact it's safe because of. Most changes that look risky are safe because of a single fact, like "this call only drops already-dead cache entries and does nothing else". Find that fact. If it holds, most risky cases are cleared at once. Spend your time here, not on a long list of maybes. 3. Look where grep stops. Read the source of the library you call, and check its pinned version and any local patch. Work out when things run: microtasks, unmount and teardown, Solid versus React. Follow what a symbol search misses: the JSON an API returns, a DB column, a wire format, another language reading the same bytes, a feature flag, code three hops downstream. 4. Be honest about each risk. Give it a real chance of happening and a real cost if it does. Keep the risks you confirmed. List the ones you checked and cleared separately. Same rules as `why`. Cite a real `file:line`, a search that finds nothing is still an answer, and never make up a caller or an API. 5. Prove the one fact. Write a script or test that runs the real code, run it, and paste what happened. If you can't prove it cheaply, mark it unproven. Don't overstate. 6. For a big or wide change, run it as an `arena`. Ask several models the same question and merge the answers. Different models catch different real bugs. ## What to hand back - **What it does.** What changed, including the part that isn't obvious. - **The one fact it's safe because of.** State it, say which step you got it to, and show the proof. If you couldn't prove it, write unproven. - **Risks.** Only the real ones. Each names how it breaks, the `file:line`, how likely and how bad, and how to check. Paste the proof for the ones that matter. - **Cleared.** What you checked and why it's fine. - **Before you merge.** The cheapest test or repro that catches the real bug, including the script you wrote. Write it through `unslop`, cite real code, and strip anything private before it goes anywhere public. **Reply:** the writeup above, with the one safety fact either proven or marked unproven.
From YunosukeYoshino/pstack-devin, MIT.
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Poteto Mode
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poteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 5, 2026 (25 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/YunosukeYoshino/pstack-devin
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.541score
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Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which…
SkillAFreshness: AClaude Code +9 - 0.541score
interrogate
YunosukeYoshino
Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".
SkillAFreshness: AClaude Code +9 - 0.536score
arena
YunosukeYoshino
Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it.
SkillAFreshness: AClaude Code +9 - 0.533score
Poteto Mode
YunosukeYoshino
poteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work.
SkillAFreshness: AClaude Code +9
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blast-radius skill. Agent Mart. https://agentmart.dev/skills/yunosukeyoshino-blast-radius (last updated 2026-10-24)