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 glebis/claude-skills --skill insight-extractorgit clone --depth 1 https://github.com/glebis/claude-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/glebis/claude-skills/insight-extractor)<a href="https://agentmods.dev/skills/glebis/claude-skills/insight-extractor"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/insight-extractor/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/glebis/claude-skills/insight-extractor"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/insight-extractor.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 | $0.00000 | $0.00849 |
| Opus 5.5 | $0.00000 | $0.00340 |
| Sonnet 5.5 | $0.00000 | $0.00170 |
| Haiku 4.5 | $0.00000 | $0.00085 |
Grade A, and why
insight-extractor 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Insight Extractor Skill
Parse the built-in /insights report and extract actionable items into structured, trackable markdown files.
What it does
Reads ~/.claude/usage-data/report.html (generated by /insights) and extracts:
- Action Items: CLAUDE.md improvements, unfinished tasks, follow-ups
- Useful Prompts & Patterns: Effective interaction strategies and copyable prompts
- Technical Learnings: Debugging insights, friction patterns, what worked
- Workflow Improvements: Better approaches discovered across sessions
- Tool Discoveries: Features to try, new commands, MCP tools
- Automation Candidates: Repetitive tasks that could be automated (tagged #automation-candidate, agent-runnable ones tagged #agent-task)
Usage
Auto mode (default)
/insight-extractor
Extracts all categories, saves everything automatically using configured paths.
Interactive mode
/insight-extractor --interactive
Walks through each category with AskUserQuestion -- cherry-pick items, set priorities, choose which automations get task files.
Configure mode
/insight-extractor --configure
Walk through settings via AskUserQuestion. Configures:
- Insights folder -- where insight files are saved (default:
Research/Insights) - Tasks folder -- where automation task files go (default:
Tasks/inbox, or disable) - Daily notes folder -- where daily notes live (default:
Daily) - MoC file -- which MoC tracks insights (default:
MoC - Insights.md, or disable) - Date format --
YYYYMMDD(compact) orYYYY-MM-DD(ISO) - Machine name -- include in filenames or not
- Statistics -- include session stats section or not
- Stale threshold -- warn if report older than N days
Settings saved to .claude/skills/insight-extractor/config.json.
Without machine name
/insight-extractor --no-machine
Prerequisites
Run /insights first to generate the report. The extractor reads from:
~/.claude/usage-data/report.html(main report)~/.claude/usage-data/facets/(structured JSON data)
What ships with it
3 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.
- 1mo ago First seen · 96 lines · 0 tokens per session scan A 51a92fc8c1ff
insight-extractor is a skill published in the GitHub repository glebis/claude-skills (392 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 849 tokens. 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 2026-09-03.
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