claudeframework: Skill for Claude Code

.claude/skills/apply-proposals/SKILL.md

apply-proposals is a skill for Claude Code from dixus/claudeframework. It costs 40 tokens per session (1,505 once invoked), scanned A, original, MIT.

A tool for applying accepted improvement proposals from a learn-proposals.md file to skills and rule files. Proposals describe a change, its reason, its source, its status, and the suggested edit.

In plain words
What is it for?
Use it after reviewing proposals to update selected skill or rule files, either by applying every accepted proposal, applying a specific proposal, or choosing proposals interactively.
Why use it?
It closes the loop between identifying lessons and changing the files that guide future work. It also lets you apply all accepted proposals, choose one by number, or review pending proposals interactively.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: model in frontmatter; reads .claude/ paths; mentions CLAUDE.md.

This is dixus/claudeframework's own configuration. It tells Claude Code how to work on claudeframework itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claudeframework configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dixus/claudeframework. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dixus/claudeframework/main/.claude/skills/apply-proposals/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/dixus/claudeframework

Made for: Claude Code.

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 apply-proposals

README.md
[![agentmods](https://agentmods.dev/badge/skills/dixus/claudeframework/apply-proposals/github.svg)](https://agentmods.dev/skills/dixus/claudeframework/apply-proposals)
Your own site
<a href="https://agentmods.dev/skills/dixus/claudeframework/apply-proposals"><img src="https://agentmods.dev/badge/skills/dixus/claudeframework/apply-proposals/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.

agentmods 80×15 button for apply-proposals

Your own site · 80×15
<a href="https://agentmods.dev/skills/dixus/claudeframework/apply-proposals"><img src="https://agentmods.dev/badge/skills/dixus/claudeframework/apply-proposals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,505 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00040 $0.01505
Opus 5.5 $0.00016 $0.00602
Sonnet 5.5 $0.00008 $0.00301
Haiku 4.5 $0.00004 $0.00151

Measured 1mo ago against content hash 6aa412318532, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

apply-proposals 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.

.claude/skills/apply-proposals/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apply accepted proposals from .claude/reviews/learn-proposals.md to the target skill and rule files.

$ARGUMENTS is optional:

  • --all — apply all proposals with Status accepted
  • --proposal <N> — apply only proposal number N (by order of appearance), regardless of Status
  • No arguments — interactive mode: present pending proposals for review, then apply accepted ones

Step 0 — Load proposals

  1. Read .claude/reviews/learn-proposals.md. If the file doesn't exist, report "No proposals file found. Run /scout or /learn first." and stop.
  2. Parse each proposal block. A proposal starts with ### Skill: or ### New skill: or ### Rule: and contains:
    • **What:** — one-line description
    • **Why:** — motivation
    • **Source:** or **Source tier:** — provenance
    • **Status:** — pending / accepted / rejected / deferred
    • **Diff:** — the proposed change (old → new)
  3. Build a numbered list of all proposals with their Status.

Step 1 — Select proposals to apply

If --all: select every proposal with Status accepted.

If --proposal <N>: select only that proposal. If its Status is not accepted, ask: "Proposal #N has status <status>. Apply anyway? (Y/N)" — proceed only if Y.

If no arguments (interactive mode):

  1. Print all proposals in a numbered table:
    | #  | Target            | What                          | Status   | Tier |
    | -- | ----------------- | ----------------------------- | -------- | ---- |
    | 1  | /2_review         | Add disallowedTools           | pending  | T1   |
    | 2  | /3_fix            | Add maxTurns: 15              | pending  | T1   |
    
  2. Ask: "Which proposals to apply? Enter numbers (e.g. 1,3,5), all for all pending, or q to quit."
  3. For each selected proposal, update its Status to accepted in learn-proposals.md before applying.

If no proposals are selected (or all are already accepted/rejected), report and stop.

Step 2 — Validate diffs before applying

Read the full file on GitHub · 132 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. 1mo ago Changed 6aa412318532
  2. 2mo ago First seen · 132 lines · 40 tokens per session scan A 46934255fbce

Subscribe to this mod's changes

apply-proposals is a skill published in the GitHub repository dixus/claudeframework (10 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 1,505 once invoked, about $0.0002 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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