Claude Quickstarts is a collection of starter projects for building applications with the Claude API, including customer support, financial analysis, and computer-use examples. Developers use them as foundations to customize for their own deployable applications, and the catalogue add-ons provide workflows for working with these quickstarts.
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 anthropics/claude-quickstarts --skill verifygit clone --depth 1 https://github.com/anthropics/claude-quickstartsWrote 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/anthropics/claude-quickstarts/verify)<a href="https://agentmods.dev/skills/anthropics/claude-quickstarts/verify"><img src="https://agentmods.dev/badge/skills/anthropics/claude-quickstarts/verify/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/anthropics/claude-quickstarts/verify"><img src="https://agentmods.dev/badge/skills/anthropics/claude-quickstarts/verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 MCP Rug Pull · line 15 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
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 | $0.00023 | $0.01597 |
| Opus 5.5 | $0.00009 | $0.00639 |
| Sonnet 5.5 | $0.00005 | $0.00319 |
| Haiku 4.5 | $0.00002 | $0.00160 |
Grade A, and why
verify scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
until curl -sf localhost:18501/_stcore/health >/dev/null; do sleep 1; done How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verifying changes to this demo
The surface is the Streamlit app inside the container. Build the image from this directory, run it, and drive the UI with Playwright. pytest, ruff, and pyright are CI's job, not evidence.
Build and run
docker build . -t computer-use-demo:verify
docker rm -f cu-verify 2>/dev/null
docker run -d --name cu-verify \
-e ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY -e WIDTH=1024 -e HEIGHT=768 \
-p 18501:8501 -p 18080:8080 -p 16080:6080 computer-use-demo:verify
until curl -sf localhost:18501/_stcore/health >/dev/null; do sleep 1; done
A cold build takes several minutes (apt, LibreOffice, a pyenv Python compile). The requirements.txt layer is cached separately, so source-only changes rebuild in seconds.
To iterate without rebuilding, copy sources over the baked copy before the first browser session compiles the script:
docker cp computer_use_demo/. cu-verify:/home/computeruse/computer_use_demo/
Streamlit's file watcher does not notice docker cp replacements once a session has run. Recreate the container instead of docker restart, which fails on a stale X lock (tint2: could not open display).
Drive the UI
Install Playwright in any venv (pip install playwright && python -m playwright install chromium) and run the script below. It sets the model, picks a tool version, optionally sets the thinking mode, sends a prompt, waits for the loop to go idle, then dumps the chat transcript and every HTTP exchange (request headers and JSON, response JSON) with auth headers redacted.
THINKING=Adaptive python drive.py 18501 claude-sonnet-5 computer_toolset_20260801 \
"Take a screenshot, then zoom in on the taskbar and list the icons." out/ 240
Pass - for model or tool version to keep the default. THINKING=Off|Adaptive|Extended clicks that radio. TOKEN_EFFICIENT=1 ticks the beta checkbox.
What to read afterwards:
out/chat.txt: the rendered conversation, includingTool Use: <name>lines and any error box with its traceback.out/exchange-NN.txt: one file per API round trip. Checktools,anthropic-beta, and thetool_use/tool_resultblocks here rather than trusting the chat rendering.out/02-chat.png,out/04-http-logs-expanded.png: full-page screenshots.
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.
- 1mo ago First seen · 137 lines · 23 tokens per session scan A 6b03eb806887
verify is a skill published in the GitHub repository anthropics/claude-quickstarts (18,935 stars, last pushed 13d ago), licensed MIT. It adds 23 tokens to every session and 1,597 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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