propose

propose is a skill for Claude Code, Codex from fulminate-io/knowledge-mcp. It costs 94 tokens per session (2,065 once invoked), scanned A, original, Apache-2.0.

A skill for proposing new project ideas by examining past tickets and thoughts, inspecting an existing code repository, and researching the market and competitors.

In plain words
What is it for?
Use it to produce a small set of evidence-backed feature or project proposals for a repository. It does not create tickets or projects.
Why use it?
It helps identify genuine missing capabilities while separating new ideas from improvements to features that already exist.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/fulminate-io/knowledge-mcp/propose
Any agent
npx skills add fulminate-io/knowledge-mcp --skill propose
Clone the repo
git clone --depth 1 https://github.com/fulminate-io/knowledge-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for propose

README.md
[![agentmods](https://agentmods.dev/badge/skills/fulminate-io/knowledge-mcp/propose.svg)](https://agentmods.dev/skills/fulminate-io/knowledge-mcp/propose)
Your own site
<a href="https://agentmods.dev/skills/fulminate-io/knowledge-mcp/propose"><img src="https://agentmods.dev/badge/skills/fulminate-io/knowledge-mcp/propose.svg" alt="Measured on agentmods" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,065 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00094 $0.02065
Opus 5 $0.00047 $0.01033
Sonnet 5 $0.00019 $0.00413
Haiku 4.5 $0.00009 $0.00206

Measured 4d ago against content hash a1026097e092, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

propose 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.

.claude/skills/propose/SKILL.md · 189 lines

How it starts

The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Propose: $ARGUMENTS

For universal orchestration discipline (background spawning, user touch points), reference /orchestrate. This skill is proposal-discovery-specific.

The discriminator for every candidate: "does this create a capability that doesn't exist?" Yes → it belongs here. Makes an existing capability faster, safer, or better-tested → it belongs to /improve; exclude it (note it in one line so the signal isn't lost).

Output feeds /brainstorm. Proposals are INPUTS to a future brainstorm, never work items: this skill creates NO tickets and NO projects.

Step 0: Resolve Scope + Index Freshness

Scope resolution (in order):

  1. $ARGUMENTS names a repo or subsystem → that's the focus.
  2. The session has already been working in a specific repo → that repo.
  3. Otherwise → the repo of the current working directory.

Freshness: run manage({ "operation": "status" }). If the focus repo's index is behind HEAD, run collect({ "type": "code", "id": "<absolute-repo-path>" }) before spawning lenses — this skill is mostly non-interactive, so reindex without asking. Stale evidence produces stale proposals.

Step 0.5: Build the Dedup Set (inline, before spawning)

Proposals that collide with existing work are noise. Assemble three lists:

thoughts({ "operation": "recall", "mode": "context", "query": "<focus repo/product area>" })
query({ "type": "ticket", "limit": 50 })
query({ "type": "project", "limit": 30 })
thoughts({ "operation": "recall", "session": "propose-rejected" })
  • Already planned — open tickets/projects covering a candidate → drop it.
  • Already rejected — the propose-rejected session lists proposals the user dismissed in past runs → don't re-propose without new evidence.
  • Already explored — prior decisions/findings that settled an area → candidates there need to engage that history, not ignore it.

Read the full file on GitHub · 189 lines

Changes

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.

  1. 4d ago First seen · 189 lines · 94 tokens per session scan A a1026097e092

Subscribe to this mod's changes

propose is a skill published in the GitHub repository fulminate-io/knowledge-mcp (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 94 tokens to every session and 2,065 once invoked, about $0.0005 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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