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 clawdotnet/openclaw.net --skill summarizegit clone --depth 1 https://github.com/clawdotnet/openclaw.netWrote 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/clawdotnet/openclaw.net/summarize)<a href="https://agentmods.dev/skills/clawdotnet/openclaw.net/summarize"><img src="https://agentmods.dev/badge/skills/clawdotnet/openclaw.net/summarize/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/clawdotnet/openclaw.net/summarize"><img src="https://agentmods.dev/badge/skills/clawdotnet/openclaw.net/summarize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00025 | $0.00292 |
| Opus 5.5 | $0.00010 | $0.00117 |
| Sonnet 5.5 | $0.00005 | $0.00058 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
summarize 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 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.
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
Summarize
When the user asks to summarize, condense, or get a digest of content, produce a structured summary.
Format
- Key Points — 3–5 bullet points of the most important information
- Details — Brief expansion on each key point if the user needs more depth
- Action Items — Any tasks, decisions, or follow-ups identified (omit if none)
Guidelines
- Keep summaries concise. Default to 3–5 key points unless the user asks for more.
- Prioritize what matters to the user's stated goal. If the goal is unclear, ask before summarizing.
- Preserve factual accuracy. Do not invent dates, names, numbers, or conclusions not present in the source.
- When summarizing a conversation or thread, distinguish between facts, opinions, decisions, and open questions.
- For long content, consider a two-pass approach: first extract the structure (sections, topics), then summarize each with appropriate depth.
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 · 30 lines · 25 tokens per session scan A 6116800aaf8b
summarize is a skill published in the GitHub repository clawdotnet/openclaw.net (527 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 292 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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