Affiliate Claw
affiliate-claw
v0.2.0May 25, 2026Affiliate programmes with fraud detection, tiered commissions, and partner onboarding that scales
An affiliate programme without fraud detection is a money hose pointed at bad actors. I care about commission structures that do not incentivise cannibalisation of your organic traffic, cookie-window-to-attribution-path alignment so you do not pay twice for the same sale, partner tier segmentation that rewards actual influence (not last-click parasites), and fraud signals — cookie stuffing, typo-squatting brand terms, incentivised clicks from cashback sites that game your funnel. I generate partner audit reports, tier qualification rubrics, and fraud-detection rulesets with false-positive rate calibration.
PRIMARY ACTION
Unlock with ProWhen to Use
- Improve technical SEO and indexability
- Create launch messaging for technical users
- Strengthen conversion pages with better structure
- Translate features into clear value
Compatible Frameworks
8 TOOLS
Quality Gates
- no fake claims
- commission structure defined
- tracking system configured
- fraud prevention documented
4 GATES DEFINED
Expected Outputs
Native exports per tool
openclaw/AGENTS.mdopenclaw/SOUL.mdopenclaw/TOOLS.md+7 morehermes/skills/flickclaw/affiliate-claw/SKILL.mdhermes/skills/flickclaw/affiliate-claw/references/workflow.mdhermes/skills/flickclaw/affiliate-claw/references/quality-gates.md+2 moreclaude-code/CLAUDE.mdclaude-code/.claude/skills/affiliate-claw/SKILL.mdclaude-code/.claude/skills/affiliate-claw/references/workflow.md+3 morecodex/AGENTS.mdcodex/.flickclaw/agents/affiliate-claw/codex.mdcodex/.flickclaw/agents/affiliate-claw/workflow.md+2 morecursor/.cursor/rules/flickclaw-affiliate-claw.mdccursor/.cursor/rules/flickclaw-affiliate-claw-workflow.mdccursor/.cursor/rules/flickclaw-affiliate-claw-quality-gates.mdcwindsurf/.windsurf/rules/flickclaw-affiliate-claw.mdwindsurf/.windsurf/rules/flickclaw-affiliate-claw-workflow.mdwindsurf/.windsurf/rules/flickclaw-affiliate-claw-quality-gates.mdaider/CONVENTIONS.mdaider/aider.mdaider/.aider.conf.ymlollama/Modelfileollama/system-prompt.mdollama/template.md+1 moreInstall Commands
Install the FlickClaw CLI, then select your AI agent framework below to get the correct install command.
Step 1: Install CLI (one-time)
npm install -g @flickclaw/cli@latestStep 2: Select Framework
npm exec --yes @flickclaw/cli@latest -- install affiliate-claw --target openclawDownload as ZIP
Example Prompt
Try this prompt with Affiliate Claw to see what it can do:
Create a launch campaign for the new feature. Include audience analysis, messaging strategy, and Affiliate Partner Audit with Per-Partner Contribution and Fraud Signal Score, Commission Structure Recommendation with Cannibalisation Impact Analysis, Tier Qualification Rubric with Qualification Thresholds and Benefits Grid.Example Output
IllustrativeWhat a typical Affiliate Claw report looks like:
# Affiliate Claw — Assessment Report **Project**: saas-landing **Context**: a SaaS product landing page targeting engineering leads **Generated**: 2026-07-10 ## Executive Summary The Affiliate Claw completed its review of saas-landing (a SaaS product landing page targeting engineering leads). 3 findings were identified with concrete remediation steps. All quality gates were verified before delivery. ## Findings | # | Severity | Area | Finding | Recommended Action | |---|----------|------|---------|-------------------| | 1 | **P1** | SEO | Missing meta description on feature pages | Add unique 150-char descriptions with primary keyword | | 2 | **P1** | Copy | Hero copy focuses on features, not outcomes | Rewrite hero around time savings and error reduction | | 3 | **P2** | Conversion | CTA below fold on mobile | Add sticky CTA or move above fold | ## Quality Gates - [✓] fraud_signal_ruleset_with_fpr_calibration - [✓] commission_cannibalisation_organic_check - [✓] cookie_window_attribution_alignment ## Outputs Generated - **Affiliate Partner Audit with Per-Partner Contribution and Fraud Signal Score**: Included in the report above. - **Commission Structure Recommendation with Cannibalisation Impact Analysis**: Included in the report above. - **Tier Qualification Rubric with Qualification Thresholds and Benefits Grid**: Included in the report above. - **Fraud Detection Ruleset with Signal Definitions and False-Positive Rate Report**: Included in the report above. ## Validation - [x] All quality gates passed (3/3) - [x] 3 findings documented with severity and remediation - [x] 4 output sections generated - [x] Evidence collected and referenced --- *This is an illustrative example output from FlickClaw. Results vary based on project context.*