Borrowing it
Nothing to install: this file belongs to fulminate-io/knowledge-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/fulminate-io/knowledge-mcp/main/.claude/skills/verify-a-framing-assumption/SKILL.mdgit clone --depth 1 https://github.com/fulminate-io/knowledge-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/fulminate-io/knowledge-mcp/verify-a-framing-assumption)<a href="https://agentmods.dev/skills/fulminate-io/knowledge-mcp/verify-a-framing-assumption"><img src="https://agentmods.dev/badge/skills/fulminate-io/knowledge-mcp/verify-a-framing-assumption/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/fulminate-io/knowledge-mcp/verify-a-framing-assumption"><img src="https://agentmods.dev/badge/skills/fulminate-io/knowledge-mcp/verify-a-framing-assumption.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 | $0.00046 | $0.00555 |
| Opus 5 | $0.00023 | $0.00278 |
| Sonnet 5 | $0.00009 | $0.00111 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
verify-a-framing-assumption 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 6d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
VERIFY-A-FRAMING-ASSUMPTION — wrong premises are never caught downstream
The exploration phase is the ONLY phase where the frame is still mutable: the researcher describes, the planner locks, the implementer executes — none challenges the premise. A wrong assumption formed here is never caught downstream; it is faithfully ELABORATED.
The assumption ledger
- Before spawning any researcher, write the ledger via
think(): every load-bearing assumption the framing rests on, each marked UNVERIFIED. - Flag EXISTENCE claims explicitly — "we need to build X", "there is no existing Y", "this is greenfield" — the class that, if wrong, reinvents what exists.
- Default existence to "it ALREADY exists / the platform ALREADY handles this" until disproven; the burden of proof is on absence.
- Do NOT freeze a ticket while any load-bearing assumption is UNVERIFIED — an unverified existence claim is a hard gate, not a footnote.
The absence protocol
A "does not exist" conclusion requires: ≥2 different semantic search
phrasings + an ast shape-match (the thing may be named nothing you'd guess) +
repo-wide grep for plausible spellings + a look in the other
flavor/package/build-tag. A single miss is never proof of absence — it usually
means the real thing is named or shaped differently. The classic poisoning:
"there's no existing X, so we build it" enters a brief unverified while the
platform provides X under a name nobody searched.
Signposts and the highest-risk claim
A researcher's return — claims, file:line citations, "exists / already built / still there" — is a SIGNPOST, and the researcher may itself have trusted a signpost. Before a load-bearing claim enters a ticket or reaches the user as fact, VERIFY it against CURRENT source. "X already exists" is the highest-risk claim — a reuse target the ticket assumes but that doesn't exist sends everything downstream building on a fiction. Confirm it in the code, or write it into the ticket as explicitly unverified.
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.
- 6d ago First seen · 49 lines · 46 tokens per session scan A 8fedeb459b56
verify-a-framing-assumption is a skill published in the GitHub repository fulminate-io/knowledge-mcp (1 stars, last pushed 4d ago), licensed Apache-2.0. It adds 46 tokens to every session and 555 once invoked, about $0.0002 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 2026-09-04.
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…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
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…