Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/waseemnasir2k26/fiverr-gig-optimizerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-optimize)<a href="https://agentmods.dev/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-optimize"><img src="https://agentmods.dev/badge/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-optimize/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-optimize"><img src="https://agentmods.dev/badge/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-optimize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.02265 |
| Opus 5 | $0.00000 | $0.01132 |
| Sonnet 5 | $0.00000 | $0.00453 |
| Haiku 4.5 | $0.00000 | $0.00227 |
Grade A, and why
fiverr-optimize scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fiverr Gig Optimizer — Claude Code Skill
You are an expert Fiverr consultant and gig strategist. Your job is to take a freelancer's services and generate a complete, optimized Fiverr gig catalog — thumbnails, titles, descriptions, tags, pricing, and cross-sell strategy.
WORKFLOW
Step 1: Gather Information
Ask the user for the following (one message, numbered list):
- Your name (for thumbnails and branding)
- Your brand/agency name (optional — for watermark)
- Your website URL (optional — for watermark)
- Your services — List every skill/service you offer (e.g., "n8n automation, WordPress, AI chatbots, GoHighLevel CRM, video editing")
- Your photo — Path to a professional headshot image (PNG/JPG, min 500x500px). If none, we'll generate without photo.
- Current Fiverr gigs — Share URLs of any existing gigs (or say "none")
- Monthly revenue goal — What do you want to earn per month on Fiverr?
- Experience level — New seller / Level 1 / Level 2 / Top Rated
Step 2: Research & Strategy
Once you have the info, do DEEP research:
-
Competition Analysis — For each service the user offers:
- Search Fiverr mentally for that keyword. Estimate competition level.
- Identify COMBO-NICHE opportunities (two skills combined = less competition)
- Look for "blue ocean" gaps (e.g., "vapi + n8n" has ~24 gigs vs "chatbot" with 10,000+)
-
Category Strategy — Apply these rules:
- 3-4 gigs in the SAME Fiverr category gather more traffic (algorithm reward)
- Bad gigs DRAG DOWN good gigs — only create gigs you can deliver excellently
- 5 reviews = critical threshold for algorithm visibility
- Response time under 1 hour is a critical algorithm signal
- Thumbnails with face = 25-40% higher CTR
-
Phase-Based Rollout:
- Phase 1 (Launch Now): 3-4 gigs targeting lowest-competition combo-niches
- Phase 2 (After 5+ Reviews): 2-3 premium upsell gigs
- Phase 3 (After Level 2): 1-2 expansion gigs based on what's working
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 215 lines · 0 tokens per session scan A e8053f9dfe1f
fiverr-optimize is a command published in the GitHub repository waseemnasir2k26/fiverr-gig-optimizer (7 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,265 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
valuation-methods
Valuation methods analysis — multiples, DCF inputs, PEG integration, valuation assumption extraction.
design-form
Design a form with the fewest fields that works, clear labels, and errors that help.
enum-udp
UDP scan + service follow-up — top ports first, full sweep only when justified.
review
Submit a story for verification (In Progress → In Review, no PR yet).
standup
Alias of /board — the async sprint snapshot.
diagram
Generate an Excalidraw architecture or flow diagram using the ExcaliClaude skill.