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 xiaojiou176-open/notebooklab --skill provenote-mcp-outcome-workflowsgit clone --depth 1 https://github.com/xiaojiou176-open/notebooklabWrote 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/xiaojiou176-open/notebooklab/provenote-mcp-outcome-workflows)<a href="https://agentmods.dev/skills/xiaojiou176-open/notebooklab/provenote-mcp-outcome-workflows"><img src="https://agentmods.dev/badge/skills/xiaojiou176-open/notebooklab/provenote-mcp-outcome-workflows/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/xiaojiou176-open/notebooklab/provenote-mcp-outcome-workflows"><img src="https://agentmods.dev/badge/skills/xiaojiou176-open/notebooklab/provenote-mcp-outcome-workflows.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 | $0.00038 | $0.00268 |
| Opus 5.5 | $0.00015 | $0.00107 |
| Sonnet 5.5 | $0.00008 | $0.00054 |
| Haiku 4.5 | $0.00004 | $0.00027 |
Grade A, and why
notebooklab-mcp-outcome-workflows 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
Purpose
Give local Claude Code users one tracked starter bundle for Notebooklab's existing MCP outcome surfaces.
This is a tracked example artifact. It is not a public plugin, skills, marketplace, or directory claim.
Read-first workflow
- confirm
notebooklab-mcpis available - list drafts
- list research threads
- list auditable runs
- only then move to a write-oriented action
Safe first mutations
research_thread.to_draftdraft.verifydraft.downloadauditable_run.createauditable_run.download
Validation
Before calling this bundle "working", prove all four:
- the host can execute
notebooklab-mcp - a read-first tool succeeds
- one narrow write-oriented workflow succeeds
- the result maps back to an inspectable repo-owned surface
Boundary
- compatibility/prep artifact only
- not an official Claude Code partnership or endorsement claim
- not a marketplace or directory listing
- keep the product center on long-context outcome work
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 · 44 lines · 38 tokens per session scan A b8d6eb86ac3a
notebooklab-mcp-outcome-workflows is a skill published in the GitHub repository xiaojiou176-open/notebooklab (1 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 268 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.
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