Borrowing it
Nothing to install: this file belongs to Nuttapon/context-hub-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Nuttapon/context-hub-mcp/main/.claude/skills/context-hub-importer/SKILL.mdgit clone --depth 1 https://github.com/Nuttapon/context-hub-mcpWrote 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/nuttapon/context-hub-mcp/context-hub-importer)<a href="https://agentmods.dev/skills/nuttapon/context-hub-mcp/context-hub-importer"><img src="https://agentmods.dev/badge/skills/nuttapon/context-hub-mcp/context-hub-importer/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/nuttapon/context-hub-mcp/context-hub-importer"><img src="https://agentmods.dev/badge/skills/nuttapon/context-hub-mcp/context-hub-importer.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 | $0.00131 | $0.00840 |
| Opus 5 | $0.00066 | $0.00420 |
| Sonnet 5 | $0.00026 | $0.00168 |
| Haiku 4.5 | $0.00013 | $0.00084 |
Grade A, and why
context-hub-importer 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 10d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Hub Importer
Converts external sources (URLs, wikis, specs, pasted text) into .context/*.md documents aligned with context-hub-mcp's schema.
Read references/schema.md before proceeding — it defines required frontmatter, directory placement, and body conventions.
Workflow
1. Fetch the source
- URL → use WebFetch to retrieve the content
- File path → use Read
- Pasted text → use as-is
2. Classify the document
Determine placement based on content:
| Content type | Directory |
|---|---|
| Business rules, workflows, state machines, domain logic | domains/ |
| External APIs, auth flows, webhooks, rate limits, request/response shapes | integrations/ |
| Gotchas, anti-patterns, "don't do X", post-mortems | pitfalls/ |
When ambiguous, prefer domains/. Ask the user only if classification is genuinely unclear.
3. Extract and distill
Do NOT dump the raw source. Distill into what an AI agent needs to know:
- Strip marketing copy, navigation, changelogs, and boilerplate
- Keep: core rules, constraints, data shapes, failure modes, key concepts
- Preserve state machines, decision tables, and numbered sequences
- For long sources, split into multiple focused files rather than one large file
4. Infer frontmatter
| Field | How to determine |
|---|---|
title |
The main subject, short and specific |
domain |
Lowercase singular noun matching the content area (e.g., payments, auth, orders) |
tags |
3–6 lowercase terms a developer would search for |
last_verified |
Today's date in YYYY-MM-DD format |
confidence |
high if source is official/stable, medium if inferred, low if uncertain |
5. Generate the filename
- kebab-case, descriptive:
stripe-webhook-events.md,order-state-machine.md - Prefix with domain if helpful for disambiguation:
auth-token-refresh.md
6. Write the file
Use Write to create .context/<subdir>/<filename>.md.
Show the user:
- The full file path written
- A one-line summary of what was captured
- Any sections intentionally omitted and why
What ships with it
1 file 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.
- 10d ago First seen · 90 lines · 131 tokens per session scan A 97e5d3824321
context-hub-importer is a skill published in the GitHub repository Nuttapon/context-hub-mcp (2 stars, last pushed 5mo ago), licensed MIT. It adds 131 tokens to every session and 840 once invoked, about $0.0007 per session on Opus 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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