Claude Code Skills Marketplace is a collection and marketplace of skills, plugins, agents, and instructions that extend Claude Code with specialized development workflows. It is for developers who want to install existing workflows or create, validate, and package their own Claude Code skills.
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 daymade/claude-code-skills --skill scrapling-skillgit clone --depth 1 https://github.com/daymade/claude-code-skillsWrote 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/daymade/claude-code-skills/scrapling-skill)<a href="https://agentmods.dev/skills/daymade/claude-code-skills/scrapling-skill"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/scrapling-skill/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/daymade/claude-code-skills/scrapling-skill"><img src="https://agentmods.dev/badge/skills/daymade/claude-code-skills/scrapling-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 130 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00070 | $0.01344 |
| Opus 5 | $0.00035 | $0.00672 |
| Sonnet 5 | $0.00014 | $0.00269 |
| Haiku 4.5 | $0.00007 | $0.00134 |
Grade A, and why
scrapling-skill scanned grade A with 1 finding 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
If `extract get` fails with `curl: (60) SSL certificate problem`, treat it as a local trust-store problem first, not a Scrapling content failure. How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scrapling Skill
Overview
Use Scrapling through its CLI as the default path. Start with the smallest working command, validate the saved output, and only escalate to browser-backed fetching when the static fetch does not contain the real page content.
Do not assume the user's Scrapling install is healthy. Verify it first.
Default Workflow
Copy this checklist and keep it updated while working:
Scrapling Progress:
- [ ] Step 1: Diagnose the local Scrapling install
- [ ] Step 2: Fix CLI extras or browser runtime if needed
- [ ] Step 3: Choose static or dynamic fetch
- [ ] Step 4: Save output to a file
- [ ] Step 5: Validate file size and extracted content
- [ ] Step 6: Escalate only if the previous path failed
Step 1: Diagnose the Install
Run the bundled diagnostic script first:
python3 scripts/diagnose_scrapling.py
Use the result as the source of truth for the next step.
Step 2: Fix the Install
If the CLI was installed without extras
If scrapling --help fails with missing click or a message about installing Scrapling with extras, reinstall it with the CLI extra:
uv tool uninstall scrapling
uv tool install 'scrapling[shell]'
Do not default to scrapling[all] unless the user explicitly needs the broader feature set.
If browser-backed fetchers are needed
Install the Playwright runtime:
scrapling install
If the install looks slow or opaque, read references/troubleshooting.md before guessing. Do not claim success until either:
scrapling installreports that dependencies are already installed, or- the diagnostic script confirms both Chromium and Chrome Headless Shell are present.
Step 3: Choose the Fetcher
Use this decision rule:
- Start with
extract getfor normal pages, article pages, and most WeChat public articles. - Use
extract fetchwhen the static HTML does not contain the real content or the page depends on JavaScript rendering. - Use
extract stealthy-fetchonly afterfetchstill fails because of anti-bot or challenge behavior. Do not make it the default.
What ships with it
2 files 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.
- 6d ago First seen · 184 lines · 70 tokens per session scan A cb4a3d3e3b3d
scrapling-skill is a skill published in the GitHub repository daymade/claude-code-skills (1,384 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 1,344 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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