referral-program
No security findings. Scanned 1 time, most recently 2026-02-07.
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' or 'partner program.' This skill covers program design, incentive structure, and growth optimization.
- Package
- 3 files, 14 KB
- SKILL.md
- 962 words, 12+ sections
- Code
- None. Instructions only.
- Version
- 1.0.0
SKILL.md covers: Referral & Affiliate Programs · Before Starting · 1. Program Type · 2. Current State · 3. Product Fit · 4. Resources · Referral vs. Affiliate · Customer Referral Programs · Affiliate Programs · Referral Program Design · The Referral Loop · Step 1: Identify Trigger Moments
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 6.9 KB |
references/affiliate-programs.md | doc | 3.8 KB |
references/program-examples.md | doc | 3.0 KB |
Package contents recorded 2026-10-22 at commit a04cb61a577a. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- Meta analyzer. A second model pass that validates, deduplicates and re-scores the other analyzers' findings.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/coreyhaines31/marketingskills
- Raw scan result: referral-program-scan.json
- Badge for your README:
- Request a re-scan