bounds-create-verification
Create and execute a project-local verification recipe and small feature map using the project's existing tools to launch, health-check, drive, capture…
Skill by boundsj
Chalk Labs
Need help deploying bounds-create-verification?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
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/boundsj-bounds-create-verification
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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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/bounds-create-verification
What's inside
- Skill name
bounds-create-verification- Description
- Create and execute a project-local verification recipe and small feature map using the project's existing tools to launch, health-check, drive, capture evidence, and clean up.
- License
- MIT
- Instructions
- 21 lines in SKILL.md · view on GitHub
Files (4)
- LICENSE.txt
- NOTICE.md
- SKILL.md
- recipe.md · references/
SKILL.md (first lines)
# Bounds create verification Inspect the project before asking the user: its real user surface, run/build commands, dependencies, authentication needs, fixtures, and existing test or driving tools. Preserve useful specialists and native host tools. Identify how to isolate ports, processes, data, and profiles from active work. Find an existing verification recipe first. Extend it if appropriate. Otherwise use the project's documentation convention, falling back to `docs/verification/README.md` with `features.md` alongside it. A discoverable local skill is optional when the project already uses one; keep its files inside that project. Never write a project recipe into this shared bundle or a global skill home. Read [recipe shape](references/recipe.md) when authoring. Fill it with observed commands and checks, not guessed placeholders: - **Launch:** setup, isolated runtime, readiness signal, and owned resources. A short-lived CLI needs no background server. - **Doctor:** a read-only check of the intended instance, version, prerequisites, and health before driving. - **Drive:** user-facing actions through existing tools and stable handles, with explicit expected results. - **Evidence:** commands, results, host/tool versions, revision including dirty state, coverage, and durable artifact paths. Capture the action and its effect. - **Cleanup:** release only resources this run owns, on failure too. Evidence lives outside disposable runtime state and survives teardown. Add a small feature map, usually three to five important behaviors or fewer for a small project. For each, name the user entrypoint, prerequisites, action, expected observation, and verification status. Mark unexercised paths explicitly. Execute the recipe end to end for at least one mapped behavior. Run Doctor after surprises; repair recipe errors and retry a failed step once before reporting a blocker. Verify evidence still exists after cleanup. A recipe not executed is a draft; a build or source read alone does not prove user behavior. Report coverage and remaining prerequisites. A startup or product defect outside scope is a finding, not permission for a broad repair. Point to `bounds-maintain-verification` for later upkeep without scheduling it.
From boundsj/bounds-skills, MIT.
More from boundsj/bounds-skills
- 0.570score
bounds-architect
boundsj
Design state ownership, types, interfaces, and module shape before implementing a nontrivial change, comparing a few meaningful alternatives with…
SkillAFreshness: AClaude Code +9 - 0.570score
bounds-automate-me
boundsj
Create or update a scoped skill that captures how the user likes agents to work, from their explicit preferences and bounded evidence of repeated decisions.
SkillAFreshness: AClaude Code +9 - 0.570score
bounds-mode
boundsj
Coordinate a task with Bounds workflows when the user explicitly asks for bounds-mode.
SkillAFreshness: AClaude Code +9 - 0.567score
bounds-why
boundsj
Investigate why existing code, a design, a threshold, or a past decision has its current shape, separating cited evidence from inference, alternatives, and…
SkillAFreshness: AClaude Code +9 - 0.567score
bounds-recall
boundsj
Recover prior goals, decisions, constraints, and unfinished work from accessible agent sessions and project records, then verify current state.
SkillAFreshness: AClaude Code +9 - 0.567score
bounds-retro
boundsj
Examine a bounded set of accessible engineering work for repeated corrections and wasted effort, then propose evidence-backed improvements to structure…
SkillAFreshness: AClaude Code +9 - 0.567score
bounds-unslop
boundsj
Edit prose the user asks to tighten so it reads direct and concrete, preserving meaning, commitments, numbers, uncertainty, citations, quotes, and code.
SkillAFreshness: AClaude Code +9 - 0.561score
bounds-debug
boundsj
Reproduce an observed bug or performance regression, isolate its cause, fix it within scope, and verify the user's failing behavior with a repeatable check.
SkillAFreshness: AClaude Code +9 - 0.561score
bounds-how
boundsj
Explain how existing code, a subsystem, or a change works, from entrypoint through data and state to boundaries and outcome, sized to the reader's purpose.
SkillAFreshness: AClaude Code +9 - 0.561score
bounds-ketchup
boundsj
Brief the user on what changed in the current conversation since their last substantive message: current state, evidence, blockers, decisions they own, and…
SkillAFreshness: AClaude Code +9 - 0.561score
bounds-plan
boundsj
Turn an engineering idea or change request into a concise, executable plan with scope, retained behavior, acceptance checks, and real dependencies.
SkillAFreshness: AClaude Code +9 - 0.561score
bounds-review
boundsj
Review a pinned diff or change for correctness, requirement compliance, and maintainability, separating actionable findings from preferences and unverified…
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 4, 2026 (26 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/boundsj/bounds-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from boundsj
- 0.570score
bounds-mode
boundsj
Coordinate a task with Bounds workflows when the user explicitly asks for bounds-mode.
SkillAFreshness: AClaude Code +9 - 0.570score
bounds-automate-me
boundsj
Create or update a scoped skill that captures how the user likes agents to work, from their explicit preferences and bounded evidence of repeated decisions.
SkillAFreshness: AClaude Code +9 - 0.570score
bounds-architect
boundsj
Design state ownership, types, interfaces, and module shape before implementing a nontrivial change, comparing a few meaningful alternatives with…
SkillAFreshness: AClaude Code +9 - 0.567score
bounds-retro
boundsj
Examine a bounded set of accessible engineering work for repeated corrections and wasted effort, then propose evidence-backed improvements to structure…
SkillAFreshness: AClaude Code +9 - 0.567score
bounds-recall
boundsj
Recover prior goals, decisions, constraints, and unfinished work from accessible agent sessions and project records, then verify current state.
SkillAFreshness: AClaude Code +9 - 0.567score
bounds-unslop
boundsj
Edit prose the user asks to tighten so it reads direct and concrete, preserving meaning, commitments, numbers, uncertainty, citations, quotes, and code.
SkillAFreshness: AClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
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.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get bounds-create-verification running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
bounds-create-verification skill. Agent Mart. https://agentmart.dev/skills/boundsj-bounds-create-verification (last updated 2026-10-24)