Install
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.
npx agentmarket install skill/hhellbusch-kaeshi
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/kaeshi
Tools it pre-approves 5
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
ReadGrepGlobShellSemanticSearch
What's inside
- Skill name
kaeshi- Description
- Inversion lens (返し — reversal): what would guarantee failure? Use when the user says /kaeshi, "invert this", "failure modes", "anti-goals", or when the goal is clear but plan rails are not — before /spar on a written proposal.
- License
- MIT
- Allowed tools
- Read, Grep, Glob, Shell, SemanticSearch
- Instructions
- 88 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Kaeshi — Reversal (Inversion) <objective> Shape a **goal** by studying what would flip you. Ask “What would guarantee failure?” then avoid those things. Builds rails and anti-goals — not a steel-man attack on a written thesis (that's `/spar`) and not framing reset (that's `/shoshin`). **When:** Goal is clear; plan/constraints are not. **Siblings:** shoshin (right problem?) → **kaeshi** (rails) / yomi (ripples) → spar (break the proposal). </objective> <constraints> - Target is a goal / desired outcome — if the user has a written proposal to attack, prefer `/spar` unless they explicitly want rails first - Ground failure modes in this goal and loaded files — no generic risk theater - Prefer specific, actionable avoid-bys over abstract wisdom - Keep output short enough to act on - If the goal itself seems wrong, suggest `/shoshin` rather than inventing failure modes for a bad frame </constraints> <process> ### 1. Identify the goal Parse `$ARGUMENTS`: file path, topic, or goal statement. No args → current goal under discussion. If unclear, ask one sharp question: “What success outcome should I invert?” ### 2. Load just enough context File → read it (and direct links if needed). Topic → skim artifacts that define the goal. Conversation-only → state the goal in one sentence first. Do not load the whole repo. Do not run yomi/spar/shoshin unless asked. ### 3. Invert 1. State the goal in one sentence 2. List concrete **guaranteed failure modes** (specific, realistic — not “be careless”) 3. For each: **avoid by** [actionable constraint or habit] 4. Extract **anti-goals** (never-do behaviors) 5. Note **success by avoidance** — what becomes easier if those are simply not done 6. Name **remaining risk** after the obvious failures are avoided ### 4. Close ``` next: spar | yomi | refine | proceed — [why] ``` - **spar** — a concrete proposal now exists and should be attacked - **yomi** — an action is chosen; trace consequence chains - **refine** — rails change the approach; reshape before committing - **proceed** — rails are clear; continue </process> <output_format> ``` **Goal:** … **Failure modes** 1. … — avoid by … 2. … **Anti-goals** - … **Success by avoidance:** … **Remaining risk:** … next: spar | yomi | refine | proceed — … ``` </output_format> <success_criteria> - Goal stated in one sentence - Failure modes specific to this decision, not generic - Anti-goals actionable - Clear next: spar / yomi / refine / proceed - Not a spar-style counterargument list against a thesis </success_criteria> ## Failure modes - **Spar drift:** Listing objections to a written thesis — stop; suggest `/spar` - **Shoshin drift:** The goal itself is suspect — suggest `/shoshin` - **Template sludge:** Vague risks padded to a count — cut to load-bearing lines - **Yomi confusion:** Tracing “and then what?” chains — that’s `/yomi`, not kaeshi
From hhellbusch/zanshin-pi-extension, MIT.
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- 0.565score
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Surfaces load-bearing assumptions against source artifacts before building.
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unslop
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Cut AI tells from writing.
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domain-language
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Audit established domain terms across glossaries, ADRs, code, schemas, APIs, tests, UI, and external contracts.
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lab-journal
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Append one lab-journal entry after a meaningful surprise, or skip.
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spar
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Adversarial review of any content — essays, designs, plans, or ideas
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whats-next
hhellbusch
Analyze the current conversation and create a handoff document for continuing this work in a fresh context
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checkpoint
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Save current session state mid-session — faster than /whats-next, designed for crash recovery
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 5, 2026 (25 days ago)
- Last release
- Oct 5, 2026 (24 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from hhellbusch
- 0.565score
shoshin
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Surfaces load-bearing assumptions against source artifacts before building.
SkillAFreshness: AClaude Code +9 - 0.565score
yomi
hhellbusch
Second-order lens (読み — reading ahead): and then what?
SkillAFreshness: AClaude Code +9 - 0.565score
craft
hhellbusch
Apply engineering principles to code or design — DRY, KISS, SRP, YAGNI, convention over configuration, orchestration vs program, shared change scope, phased…
SkillAFreshness: AClaude Code +9 - 0.565score
kihon
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Basics / fixed forms (基本): shell, secrets, vault, sql, git, k8s, testing, lint, ansible, helm, kustomize, python, typescript, structured edit.
SkillAFreshness: AClaude Code +9 - 0.565score
unslop
hhellbusch
Cut AI tells from writing.
SkillAFreshness: AClaude Code +9 - 0.565score
domain-language
hhellbusch
Audit established domain terms across glossaries, ADRs, code, schemas, APIs, tests, UI, and external contracts.
SkillAFreshness: AClaude Code +9
Cite this page
kaeshi skill. Agent Mart. https://agentmart.dev/skills/hhellbusch-kaeshi (last updated 2026-10-24)