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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/pathmodeio-grill-intent
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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About
Use cases: testing, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 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/grill-intent
What's inside
- Skill name
grill-intent- Description
- Adversarial review of an existing intent spec. Walk the spec field-by-field and pressure-test the weakest claims before code gets written against them. Use when an intent feels "done" but the user wants to stress-test it, or before handing it to an implementation agent.
- License
- MIT
- Instructions
- 44 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
<what-to-do>
Load the active intent from `intent.md` in the project root first. That file is bound to this repository and remains the content authority even when `PATHMODE_API_KEY` is set. If the repository has no `intent.md`, ask the user which saved intent they mean and load it with `get_intent`. With a workspace connected, `get_current_intent` picks by a workspace heuristic and can return an intent unrelated to this repository. If the file carries a cloud id, use that id for any team-only note call below.
Walk the spec field-by-field — objective, outcomes, edge cases, constraints. For each field, find the weakest claim and pressure-test it. Ask one pointed question at a time. For each question, propose your best-guess answer based on the spec and the codebase.
When a weakness is confirmed, edit the spec itself — not a note about it. Write the change back to `intent.md` and save with `intent_save` (it preserves the file's identity and syncs in team mode; use `update_intent` only when no local file exists). Then, in team mode, call `log_implementation_note` to record WHY the change was made: the note reaches the next agent's prompt, the spec carries the change.
Stop when all five dimensions below pass, or the user explicitly accepts a known weakness.
</what-to-do>
<supporting-info>
## The five dimensions
1. **Objective** — Does it name who is harmed? Is it specific enough to disqualify other interpretations? Is it a problem, or a solution in disguise? ("Add a dropdown" is a solution; "members cannot switch products without leaving their work" is a problem.)
2. **Outcomes** — Are they observable state changes, not activities? Could someone verify this in 5 minutes without asking the spec author?
3. **Edge cases** — Are they real edge cases, or restatements of the outcome failing?
4. **Constraints** — What must NEVER happen? An intent with zero constraints has no teeth.
5. **Contradictions** — Do any two fields imply opposite things?
Alongside the five, check scope. More than about seven outcomes usually means several intents; split before building. One outcome and no edge cases is usually a task, not an intent.
## Stop conditions
- All five dimensions pass — the spec is agent-ready
- The user explicitly accepts a known weakness — record that acceptance as a decision in the spec with `intent_save`; when a cloud id is available, one consolidated `log_implementation_note` may preserve rationale that does not fit the decision field
- More than 6 turns without surfacing new issues — the spec is settled
## Difference from compile-intent
- `compile-intent` BUILDS a spec from a vague problem
- `grill-intent` BREAKS an existing spec to find weaknesses
Run grill before treating a spec as agent-ready. If you compile a spec and immediately hand it to an implementation agent, you're trusting your first draft — and first drafts are wishful.
## Codebase grounding
When proposing answers, look at the actual code. If the spec says "users see a spinner during payment" but the codebase has no spinner component on the payment path, that's a gap worth surfacing. The point isn't to be right — it's to be specific enough that the user can correct you.
</supporting-info>From pathmodeio/claude-plugin, MIT.
More from pathmodeio/claude-plugin
- 0.604score
compile-intent
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Build a structured intent spec through guided conversation, one decision at a time with a recommended answer for each.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
implement-intent
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Implement the repository's active intent only after running its deterministic preflight.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
preflight
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Run the deterministic readiness check on an intent spec before an agent builds against it.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
setup-pathmode-workflow
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Interview the user about their development workflow and capture the answers as durable context.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
split-intent-to-issues
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Break an intent spec into 3-10 paste-ready tickets for Linear, Jira, or GitHub Issues.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
verify-intent
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Design the executable feedback loop for an intent — fastest check, highest-confidence check, manual fallback, observable shipped signal, and what shouldn't…
SkillAFreshness: A★ 3Claude Code +9 - 0.601score
handoff-intent
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Capture context at the end of an implementation session — decisions made, blockers hit, what's left.
SkillAFreshness: A★ 3Claude Code +9 - 0.601score
review-against-intent
pathmodeio
Review code changes against the active intent's outcomes and constraints.
SkillAFreshness: A★ 3Claude Code +9
Signals
- Stars
- 3
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 9, 2026 (20 days ago)
- Last release
- Sep 7, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/pathmodeio/claude-plugin
- Website
- preflight.pathmode.io
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.636score
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implement-intent
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Implement the repository's active intent only after running its deterministic preflight.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
preflight
pathmodeio
Run the deterministic readiness check on an intent spec before an agent builds against it.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
setup-pathmode-workflow
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Interview the user about their development workflow and capture the answers as durable context.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
split-intent-to-issues
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Break an intent spec into 3-10 paste-ready tickets for Linear, Jira, or GitHub Issues.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
verify-intent
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Design the executable feedback loop for an intent — fastest check, highest-confidence check, manual fallback, observable shipped signal, and what shouldn't…
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Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
grill-intent skill. Agent Mart. https://agentmart.dev/skills/pathmodeio-grill-intent (last updated 2026-10-24)