Template

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 2515ce9634da · 15 Oct 2026Report an issue or request a re-scan

• PublisherAffitor GitHub organizationOwner of the repository this skill is read from
• Source folderAffitor/affiliate-skills/templateThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict2515ce9634daA new audit runs when the source changes
• Repository statusNot archivedLast push 2 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Replace with when the AI should activate this skill. Be pushy — cover multiple phrasings so the AI activates for a wide range of user prompts.

---
name: your-skill-name
description: >
  Replace with when the AI should activate this skill. Be pushy — cover multiple
  phrasings so the AI activates for a wide range of user prompts.
license: MIT
version: "1.0.0"
tags: ["affiliate-marketing"]
compatibility: "Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent"
metadata:
  author: your-github-handle
  version: "1.0"
  stage: SX-StageName
---

# Your Skill Name

What this skill does in 2-3 sentences. Focus on the outcome, not the process.

## Stage

This skill belongs to Stage SX: StageName

## When to Use

- Scenario 1
- Scenario 2
- Scenario 3

## Input Schema

```
{
  required_field: {          # (required) Description
    name: string             # Example value
  }
  optional_field: string     # (optional, default: "value") Description
}
```

## Workflow

### Step 1: Gather Context

What to check first. How to handle missing inputs.

### Step 2: Execute Core Task

The main work the skill does.

### Step 3: Format and Deliver

How to structure the output.

## Output Schema

Other skills can consume these fields from conversation context:

```
{
  primary_output: string     # Main result for downstream chaining
  secondary_output: string   # Additional data for downstream skills
}
```

## Output Format

```
## [Skill Name]: [Context]

### Section 1
[Main content]

### Section 2
[Supporting content]
```

## Error Handling

- **Missing required input:** How to recover gracefully.
- **External data unavailable:** Fallback strategy.
- **Edge case:** How to handle unexpected scenarios.

## Examples

**Example 1:** [realistic user prompt]
→ [step-by-step what the skill does]
→ [expected output summary]

**Example 2:** [different scenario]
→ [step-by-step]
→ [expected output summary]

**Example 3:** [edge case or beginner scenario]
→ [step-by-step]
→ [expected output summary]

## Flywheel Connections

### Feeds Into
- `[skill]` (S[X]) — [what data/output flows forward to this skill]

### Fed By
- `[skill]` (S[X]) — [what data/output flows back from this skill]

### Feedback Loop
- [analytics metric or data point that improves this skill's next run]

## Quality Gate

> Include this section for content-producing skills (S2, S3, S4, S5, S7). Remove for non-content skills.

Before delivering output, verify:

1. Would I share this on MY personal social?
2. Contains specific, surprising detail? (not generic)
3. Respects reader's intelligence?
4. Remarkable enough to share? (Purple Cow test)
5. Irresistible offer framing? (if S4 offer skills ran)

Any NO → rewrite before delivering. Do not flag this checklist to the user.

## Volume Mode

> Include this section for S2 Content skills only. Remove for other stages.

When `mode: "volume"`:
- Generate 5-10 variations instead of 1
- Prioritize speed + variety over perfection
- Tag each with variant ID for A/B tracking
- Let data pick the winner (GaryVee philosophy)

```yaml
volume_output:
  variants:
    - id: string           # e.g., "v1", "v2"
      content: string      # The variation
      angle: string        # What makes this one different
```

## Feedback & Issue Reporting

When this skill produces unexpected, incomplete, or incorrect output, generate a
`skill_feedback` block (see `shared/references/feedback-protocol.md` for full schema).

**Skill-specific failure modes:**
- **[Failure mode 1]:** [What triggers it, what to report]
- **[Failure mode 2]:** [What triggers it, what to report]

**Auto-detect triggers for this skill:**
- [Specific condition that means this skill underperformed]
- [Another condition]

Report issues: [GitHub Issues](https://github.com/Affitor/affiliate-skills/issues/new?labels=skill-feedback&title=your-skill-name) | [Discussions](https://github.com/Affitor/affiliate-skills/discussions/categories/ideas)

## References

- `references/your-reference.md` — description of what it contains
- `shared/references/ftc-compliance.md` — FTC disclosure requirements
- `shared/references/affitor-branding.md` — branding rules
- `shared/references/flywheel-connections.md` — master flywheel connection map
- `shared/references/feedback-protocol.md` — issue detection and reporting standard
- `shared/references/version-check.md` — update notification system

Excerpt, first 4,257 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

1. 2026-10-15
   ✓SAFE B 89 / 100

   first audit · source 2515ce9634da

Questions about Template

• github.com/Affitor/affiliate-skills/tree/main/template — the audited source at commit 2515ce9634da and every finding aboveObserved · 15 Oct 2026

Spotted something wrong? Report a correction · Methodology