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 byt3bl33d3r/figaro --skill slider-captcha-bypassgit clone --depth 1 https://github.com/byt3bl33d3r/figaroWrote 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/byt3bl33d3r/figaro/slider-captcha-bypass)<a href="https://agentmods.dev/skills/byt3bl33d3r/figaro/slider-captcha-bypass"><img src="https://agentmods.dev/badge/skills/byt3bl33d3r/figaro/slider-captcha-bypass/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/byt3bl33d3r/figaro/slider-captcha-bypass"><img src="https://agentmods.dev/badge/skills/byt3bl33d3r/figaro/slider-captcha-bypass.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 | $0.00018 | $0.00247 |
| Opus 5.5 | $0.00007 | $0.00099 |
| Sonnet 5.5 | $0.00004 | $0.00049 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
slider-captcha-bypass 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 2mo 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
Primary Approach: Slider Drag
- Take a screenshot of the desktop using
mcp__desktop__screenshot - Look at the screenshot and identify the coordinates of the slider
- Use the
mcp__desktop__mouse_dragtool to drag the slider and solve the captcha - Take another screenshot using
mcp__desktop__screenshotto verify the captcha was solved
If the captcha is still present after dragging and you have the patchright-cli skill available, fall back to the audio challenge approach below.
Fallback: Audio Challenge (requires patchright-cli skill)
- Take a snapshot of the page accessibility tree using
mcp__desktop__snapshotto find the audio challenge button - Click the audio challenge button to switch to the audio captcha
- Run
patchright-cli transcribe-audioto transcribe the audio challenge using Whisper - Type the transcribed answer into the captcha input field
- Submit the answer and verify the captcha is solved
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.
- 2mo ago First seen · 23 lines · 18 tokens per session scan A 7a59e284fd2c
slider-captcha-bypass is a skill published in the GitHub repository byt3bl33d3r/figaro (154 stars, last pushed 7mo ago), licensed MIT. It adds 18 tokens to every session and 247 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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