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-message-lint)<a href="https://agentmods.dev/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-message-lint"><img src="https://agentmods.dev/badge/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-message-lint/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-message-lint"><img src="https://agentmods.dev/badge/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-message-lint.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 | $0.00234 |
| Opus 5.5 | $0.00000 | $0.00094 |
| Sonnet 5.5 | $0.00000 | $0.00047 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
fiverr-message-lint 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 17d 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 Message Lint
Check a message to a Fiverr buyer before it is sent.
- Run
fiverr-gig lint --text "<message>"(or pipe a file withfiverr-gig lint -). - For each finding, rewrite the sentence so it no longer asks for or offers off-platform contact or payment. Use the suggestions the tool prints (for example "my fee" instead of naming a payment method, "message me here" instead of naming a chat app).
- Re-run until clean. A clean result is not a guarantee: Fiverr does not publish its filter.
- Never use disguised spellings such as "p.a.y" or "e m a i l". They look like evasion; the tool flags them as worse than the plain word.
- If the honest meaning of the message is to move the buyer off Fiverr, do not send it. Fiverr's terms keep communication and payment on the platform.
When the user quotes a price in a message, remember Fiverr keeps 20% and the buyer also pays a service fee: fiverr-gig price --gross <price>.
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.
- 17d ago First seen · 12 lines · 0 tokens per session scan A bcba8e782fa1
fiverr-message-lint is a command published in the GitHub repository waseemnasir2k26/fiverr-gig-optimizer (10 stars, last pushed 18d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 234 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 2026-10-13.
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venue-guidelines-compliance
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auditoria-legal
Grupo: Trabajo con el framework En una frase: Auditoría de cumplimiento legal del producto — territorio, evidencia y lo que el código no cubre. Cuándo: Antes de publicar una app o web: registro, cookies, analítica, emails, suscripciones, contenido de usuarios. Quién: Cualquier operador del repo.
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any-instagram
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any-social
Auto-detect TikTok, Instagram, or YouTube URL and extract all available public data via AnyCrawl.
any-tiktok
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