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 DamiMartinez/scrapeagent --skill skill-creatorgit clone --depth 1 https://github.com/DamiMartinez/scrapeagentWrote 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/damimartinez/scrapeagent/skill-creator)<a href="https://agentmods.dev/skills/damimartinez/scrapeagent/skill-creator"><img src="https://agentmods.dev/badge/skills/damimartinez/scrapeagent/skill-creator/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/damimartinez/scrapeagent/skill-creator"><img src="https://agentmods.dev/badge/skills/damimartinez/scrapeagent/skill-creator.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 | $0.00043 | $0.00437 |
| Opus 5.5 | $0.00017 | $0.00175 |
| Sonnet 5.5 | $0.00009 | $0.00087 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
skill-creator 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
Skill Creator
Purpose
Help users create well-structured skills documenting how to scrape specific websites.
New skills are saved to the skills/ directory and become immediately usable after an agent restart.
Workflow
Step 1 — Gather requirements
Ask the user:
- What website do they want to scrape? (get the exact URL)
- What specific data fields do they need?
- Any special requirements? (login, pagination, JS rendering, rate limits)
Step 2 — Investigate the website (if needed)
- Use fetch to retrieve the page HTML
- If the page appears empty, switch to playwright
- Identify exact CSS selectors for each required data field
- Note whether JS is required (use playwright vs fetch)
Step 3 — Generate the skill name
- Kebab-case, all lowercase, e.g.:
amazon-products,reddit-posts,linkedin-jobs - Must clearly represent the website and data type
Step 4 — Write the instructions
Follow the template at assets/SKILL_TEMPLATE.md. Key sections to include:
- Overview with the target URL(s)
- URL construction (if parameterized)
- Step-by-step extraction with exact CSS selectors
- Column/field names for the output
- Notes on edge cases, rate limits, JS requirements
Step 5 — Create the skill
Call the create_skill tool with:
- skill_name: the kebab-case name
- description: 1-2 sentences covering what it scrapes and when to trigger it
- instructions: the full markdown body from Step 4
Step 6 — Confirm
Tell the user the skill was created and that they need to restart the agent (Ctrl+C then adk web) to load it.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 50 lines · 43 tokens per session scan A 3b8ff137d362
skill-creator is a skill published in the GitHub repository DamiMartinez/scrapeagent (12 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 437 once invoked, about $0.0002 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 2026-08-31.
skill-creator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skill-creatorDamiMartinez/scrapeagent | Skill | 12 | 7mo ago | Apache-2.0 | A | 43 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |