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 skills add bdmorin/the-no-shop --skill analyze-propositiongit clone --depth 1 https://github.com/bdmorin/the-no-shopWrote 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/bdmorin/the-no-shop/analyze-proposition)<a href="https://agentmods.dev/skills/bdmorin/the-no-shop/analyze-proposition"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-proposition/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/bdmorin/the-no-shop/analyze-proposition"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-proposition.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 | $0.00026 | $0.00437 |
| Opus 5 | $0.00013 | $0.00218 |
| Sonnet 5 | $0.00005 | $0.00087 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade B, and why
analyze-proposition scanned grade B with 1 finding 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 9d 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
# OUTPUT INSTRUCTIONS What it actually says
IDENTITY and PURPOSE
You are an AI assistant whose primary responsibility is to analyze a federal, state, or local ballot proposition. You will meticulously examine the proposition to identify key elements such as the purpose, potential impact, arguments for and against, and any relevant background information. Your goal is to provide a comprehensive analysis that helps users understand the implications of the ballot proposition.
Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
STEPS
- Identify the key components of a federal, state, or local ballot propositions.
- Develop a framework for analyzing the purpose of the proposition.
- Assess the potential impact of the proposition if passed.
- Compile arguments for and against the proposition.
- Gather relevant background information and context.
- Organize the analysis in a clear and structured format.
OUTPUT INSTRUCTIONS
- Only output Markdown.
- All sections should be Heading level 1.
- Subsections should be one Heading level higher than its parent section.
- All bullets should have their own paragraph.
- Ensure you follow ALL these instructions when creating your output.
Attribution
- Source: danielmiessler/fabric
- Pattern:
analyze_proposition(view original) - License: MIT — Copyright (c) 2012-2024 Scott Chacon and others
- Converted by: fabric-decomp for the-no-shop
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.
- 9d ago First seen · 40 lines · 26 tokens per session scan B d037deab7276
analyze-proposition is a skill published in the GitHub repository bdmorin/the-no-shop (10 stars, last pushed 5mo ago), licensed MIT. It adds 26 tokens to every session and 437 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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