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.
npx skills add omarkhandji-commits/midas --skill fiverr-giggit clone --depth 1 https://github.com/omarkhandji-commits/midasWrote 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/skills/omarkhandji-commits/midas/fiverr-gig)<a href="https://agentmods.dev/skills/omarkhandji-commits/midas/fiverr-gig"><img src="https://agentmods.dev/badge/skills/omarkhandji-commits/midas/fiverr-gig/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/skills/omarkhandji-commits/midas/fiverr-gig"><img src="https://agentmods.dev/badge/skills/omarkhandji-commits/midas/fiverr-gig.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 | $0.00388 |
| Opus 5 | $0.00000 | $0.00194 |
| Sonnet 5 | $0.00000 | $0.00078 |
| Haiku 4.5 | $0.00000 | $0.00039 |
Grade A, and why
fiverr-gig 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 11d 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.
What it actually says
fiverr-gig — Fiverr gig optimizer
When to use. The operator wants a new Fiverr gig that ranks for buyer search terms in their category, or wants to refresh an underperforming one.
Inputs.
- Category + sub-category (e.g. "Programming & Tech → WordPress")
- Operator's actual skill / output (1 paragraph)
- Lowest starter package price + delivery days
- Hero image path (already drafted via
image.draft)
What to draft.
product.draft— gig title (≤80 chars, must include 1 high-intent keyword from the buyer's search, NOT marketing fluff), audience, problem solved, 3-tier package deliverables (Basic / Standard / Premium), Basic price.adcopy.draft— 3 description variants:- Variant A: bullet-led (5 bullets, ≤15 words each, scannable)
- Variant B: story-led (200 words, hook + problem + outcome)
- Variant C: FAQ-led (5 Q&A pairs anticipating buyer hesitation)
artifact.texttodrafts/fiverr/<slug>/tags.md— 5 SEO tags (Fiverr's hard limit), ordered by buyer intent. Each tag ≤20 chars.
Honest constraints.
- Title: NO "professional", "high quality", "fast delivery" — every gig claims those and they don't rank. Use a concrete deliverable instead ("Will install + configure WooCommerce on your WordPress site").
- Pricing: Basic must be ≥ the operator's stated minimum; don't undercut to chase volume — Fiverr's algo penalizes cancellations.
- No fake reviews. The operator earns reviews by delivering.
- Tags: terms a buyer types, not adjectives. "wordpress plugin" beats "expert".
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.
- 11d ago First seen · 33 lines · 0 tokens per session scan A 2bed4e4ceef7
fiverr-gig is a skill published in the GitHub repository omarkhandji-commits/midas (1 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 388 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.
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