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/plan/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/plan)<a href="https://agentmods.dev/skills/fulminate-io/knowledge-mcp/plan"><img src="https://agentmods.dev/badge/skills/fulminate-io/knowledge-mcp/plan/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/plan"><img src="https://agentmods.dev/badge/skills/fulminate-io/knowledge-mcp/plan.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 | $0.00079 | $0.01346 |
| Opus 5.5 | $0.00032 | $0.00538 |
| Sonnet 5.5 | $0.00016 | $0.00269 |
| Haiku 4.5 | $0.00008 | $0.00135 |
Grade A, and why
plan 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prefill: $ARGUMENTS
For pipeline discipline (background spawns, one writer per artifact, verdict routing) reference /orchestrate. This skill is prefill-specific.
Step 0: Gate on the ticket
Fetch the ticket by id with metadata. metadata.validated must be present and
name a research node; without it, stop and route to /research. Read the
ticket's open items: an undecided design the user owns is settled with the
user before a planner spawns, never left for the planner.
manage({"operation":"status"}); collect if the index is behind the tree the
ticket lands on.
Step 1: Spawn the planner (background)
One planner, one prefill. The brief carries the ticket id, the tree and branch to resolve at, sibling work in flight on the same branch with its touched files, the user's load-bearing rules verbatim, and the reads to stamp. It names no design and no mechanism.
Agent(subagent_type: "planner",
prompt: "Produce the prefill for ticket <id> at <tree> on <branch>, per the prefill rulebook: no steps, every line resolved by tool with its command, the what-to-test list covering every numbered requirement, the harnesses that reach each seam. Siblings in flight: <list or none>. Deliver the report to main.",
description: "Prefill: <ticket>",
run_in_background: true)
Step 1a: Settle open items before anything freezes
When the planner's report carries open items, settle every one the ticket,
the user's rules or memory already answers, and route the rest to the user,
before resolving citations. Each settlement goes back to the planner that
raised it, idle with its context intact, to incorporate into the prefill. The
prefill is not frozen for review until that planner has read the settlement
back into the node. At reviewer spawn the ticket's updated_at is older than
the prefill's, or the prefill goes back to the planner first. A ticket
amendment after that point reopens the prefill, never the audit.
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 Changed · +11 lines · +11 tokens per session 069ece212c04
- 1mo ago Changed · -118 lines · +25 tokens per session a36efd0e4802
- 2mo ago First seen · 215 lines · 43 tokens per session scan A b49c2dfdda91
plan is a skill published in the GitHub repository fulminate-io/knowledge-mcp (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 79 tokens to every session and 1,346 once invoked, about $0.0003 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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