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SKILL verified MIT Self-run

Skill Name

skill-patonkikh-apes-template · by patonkikh

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No reviews yet
0 installs
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Install

$ agentstack add skill-patonkikh-apes-template

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-patonkikh-apes-template)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

[Skill Name]

Purpose

[One sentence: what engineering task this Skill completes and what artifact it produces.]

Input: [Required inputs from user or prior Skills] Output: [Named artifact, e.g. "Validated Problem Statement document"] Examples: See [examples.md](examples.md) for worked input/output (optional).


Workflow

Step 1: Gather inputs

Collect the following from the user or context:

  • [Input 1]
  • [Input 2]
  • [Input 3]

If any required input is missing, stop and request it explicitly. Do not assume values.

Step 2: Analyze

[Describe analysis actions: map assumptions, identify gaps, compare alternatives.]

Step 3: Apply methodology

[Apply the named methodology: e.g. JTBD framing, RICE scoring, INVEST criteria.]

Step 4: Draft output

Produce the result using the Output Structure below.

Step 5: Validate

Run the Validation checklist. Fix all failures before presenting the final result.

Step 6: Recommend next steps

Suggest Skills from the Next Skills section based on the current outcome.


Decision Rules

| Condition | Action | |-----------|--------| | Required input is missing | Stop; list missing items; ask user | | Input contains contradictions | Surface contradictions; ask user to resolve before proceeding | | Multiple valid approaches exist | Present options with trade-offs; ask user to choose | | Result fails Validation | Revise and re-validate; do not deliver incomplete output | | Scope exceeds single task | Split into parts; complete only this Skill's scope |


Validation

Before delivering the result, verify:

  • [ ] All required inputs were explicitly provided or confirmed
  • [ ] Output follows the Output Structure completely
  • [ ] No contradictions remain unresolved
  • [ ] No ambiguous terms without definition
  • [ ] Result is actionable without additional unstated assumptions
  • [ ] [Skill-specific criterion 1]
  • [ ] [Skill-specific criterion 2]

Anti-patterns

  • Assuming unstated context — inventing user goals, market data, or constraints not provided.
  • Role-play filler — generic advice not tied to the methodology.
  • Scope creep — implementing tasks that belong to Next Skills (e.g. writing a full PRD when only problem statement is requested).
  • Vague output — labels without measurable criteria ("improve UX", "increase engagement").
  • Skipping validation — delivering draft without running the checklist.

Best Practices

  • State assumptions explicitly in a dedicated section when user confirms them.
  • Use concrete examples from the user's domain, not generic placeholders.
  • Prefer tables and structured lists over prose paragraphs.
  • Reference the methodology by name and apply it consistently.
  • Flag risks and open questions in a separate section rather than hiding them.
  • Load [examples.md](examples.md) when the user needs a reference output shape.

Output Structure

# [Artifact Title]

## Context
- **Source inputs:** [list]
- **Assumptions:** [list or "none"]

## [Main Section 1]
[Content]

## [Main Section 2]
[Content]

## Open Questions
- [ ] [Question requiring user input]

## Risks
| Risk | Impact | Mitigation |
|------|--------|------------|
| ... | ... | ... |

Next Skills

| Outcome | Recommended Skill | |---------|-------------------| | [Condition A] | [category]/[skill-name] | | [Condition B] | [category]/[skill-name] | | Default next step | [category]/[skill-name] |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.