fiverr-audit

fiverr-audit is a command for Claude Code from waseemnasir2k26/fiverr-gig-optimizer. It costs 0 tokens per session (281 once invoked), scanned A, original, MIT.

A command that audits and rewrites an existing Fiverr gig, which is a service listing on the Fiverr marketplace. It checks the listing against stated Fiverr limits and formatting rules, then runs the checks again after edits.

In plain words
What is it for?
Use it to audit a gig, rewrite weak sections, compare the before-and-after audit scores, and lint the final description.
Why use it?
It finds missing or invalid listing details before publication, such as incorrect title, tag, package, FAQ, or requirement formatting. It also checks the final description for issues.

Command for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to audit a gig, rewrite weak sections, compare the before-and-after audit scores, and lint the final description.

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Install with agentmods
npx agentmods add commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-audit
Install

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.

Clone the repo
git clone --depth 1 https://github.com/waseemnasir2k26/fiverr-gig-optimizer

Made for: Claude Code.

Wrote 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.

agentmods badge for fiverr-audit

README.md
[![agentmods](https://agentmods.dev/badge/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-audit/github.svg)](https://agentmods.dev/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-audit)
Your own site
<a href="https://agentmods.dev/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-audit"><img src="https://agentmods.dev/badge/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-audit/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.

agentmods 80×15 button for fiverr-audit

Your own site · 80×15
<a href="https://agentmods.dev/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-audit"><img src="https://agentmods.dev/badge/commands/waseemnasir2k26/fiverr-gig-optimizer/fiverr-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 281 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00281
Opus 5.5 $0.00000 $0.00112
Sonnet 5.5 $0.00000 $0.00056
Haiku 4.5 $0.00000 $0.00028

Measured 17d ago against content hash f1afa5263344, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fiverr-audit 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.

.claude/commands/fiverr-audit.md · 13 lines

What it actually says

Fiverr Gig Audit

Audit an existing Fiverr gig with the offline fiverr-gig CLI and fix it.

  1. If fiverr-gig is not on PATH, run pip install -e . in this repo.
  2. Get the gig as JSON, YAML or Markdown (see docs/input-formats.md). If the user pasted the gig text, write it to gig-audit-input.md using the Markdown layout.
  3. Run fiverr-gig audit <file> --json and read the result.
  4. Rewrite the weakest parts the audit names. Rules: title starts "I will", max 80 characters with the main keyword in the first 50; exactly 5 tags of 20 characters or fewer; description max 1,200 characters with 3+ bullets and a call to action that keeps the buyer on Fiverr; three ascending packages; 3+ FAQs; at least one requirement.
  5. Re-run the audit. Repeat until the score stops improving. Show the user before/after scores exactly as printed.
  6. Run fiverr-gig lint --text "<new description>" on the final copy and fix any findings.

Never claim the score predicts ranking or sales. It checks form against Fiverr's limits and common best practice. Limits and their sources: docs/fiverr-rules-2026.md.

Changes

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.

  1. 17d ago First seen · 13 lines · 0 tokens per session scan A f1afa5263344

Subscribe to this mod's changes

fiverr-audit 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 281 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.