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 agentmods add skills/bumblebiber/its-over-9k/framework-scoutnpx skills add Bumblebiber/its-over-9k --skill framework-scoutgit clone --depth 1 https://github.com/Bumblebiber/its-over-9kWrote 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/bumblebiber/its-over-9k/framework-scout)<a href="https://agentmods.dev/skills/bumblebiber/its-over-9k/framework-scout"><img src="https://agentmods.dev/badge/skills/bumblebiber/its-over-9k/framework-scout.svg" alt="Measured on agentmods" 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 | $0.00085 | $0.02412 |
| Opus 5 | $0.00043 | $0.01206 |
| Sonnet 5 | $0.00017 | $0.00482 |
| Haiku 4.5 | $0.00009 | $0.00241 |
Grade A, and why
framework-scout 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 4d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
framework-scout — the GitHub Scout
The agent ecosystem moves weekly. This skill is a repeatable recon loop: find what's new, score it, slot it into o9k's compatibility matrix — without dumping raw search results into context. Scout brings back a one-page verdict, not the whole map.
Scouting is expensive (many searches, many pages). Dispatch is mandatory
for broad sweeps: fan searches to dispatch path A, keep only the shortlist.
Write findings to memory (memory skill) so the next session diffs from the
last scout, not from zero.
When to run
- User asks "what's new / better than X?" or "find a framework for Y".
- Refreshing docs/COMBINING.md or the README matrix.
- Before proposing a new companion bundle or hand-installing an MCP server.
/o9k-initStep 2b — user gave Go to evaluate an unknown installed tool (not incompat/registry.json). Start at Step 2 (score); escalate to Step 4 trial / thebundle-benchcompanion only if the README verdict is inconclusive.- Not every session — scheduled recon (weekly-ish). Recon has a cost; amortize it.
Step 1 — Hunt (where to look)
Cast wide, in rough order of signal-to-noise:
- GitHub Topics — the highest-density source. Search repos by topic:
claude-code,mcp,model-context-protocol,ai-agents,agentic-ai,token-optimization,claude-code-plugin. Use the GitHub MCPsearch_repositorieswith queries like:topic:claude-code sort:starstopic:mcp token OR context OR memory pushed:>2026-01-01claude code skill OR plugin in:name,description,readme sort:stars
- GitHub Trending / OSSInsight —
WebFetch https://ossinsight.io/trending/aifor real-time star-growth (raw Trending has known ranking noise; growth rate beats absolute stars for spotting the new thing). - Anthropic plugin directory — install counts are a strong quality prior
(
claude.com/plugins). A plugin with 100k+ installs is battle-tested. - Awesome-lists —
awesome-claude-code,awesome-ai-agents-*,awesome-mcp-servers. Good for coverage, lagging on freshness. - Changelogs & releases — for tools already in the matrix, check
list_releases/get_latest_releaseto catch a pivot (e.g. a memory tool that just added a SessionStart hook → now a blocking conflict).
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.
- 4d ago First seen · 170 lines · 85 tokens per session scan A 3d261de5f4b2
framework-scout is a skill published in the GitHub repository Bumblebiber/its-over-9k (0 stars, last pushed 8d ago), licensed MIT. It adds 85 tokens to every session and 2,412 once invoked, about $0.0004 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…