Install
$ agentstack add skill-gingg7260-affiliate-skills-template ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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:
- Would I share this on MY personal social?
- Contains specific, surprising detail? (not generic)
- Respects reader's intelligence?
- Remarkable enough to share? (Purple Cow test)
- 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)
volume_output:
variants:
- id: string # e.g., "v1", "v2"
content: string # The variation
angle: string # What makes this one different
References
references/your-reference.md— description of what it containsshared/references/ftc-compliance.md— FTC disclosure requirementsshared/references/affitor-branding.md— branding rulesshared/references/flywheel-connections.md— master flywheel connection map
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Gingg7260
- Source: Gingg7260/affiliate-skills
- License: MIT
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.