analyze-candidates

analyze-candidates is a skill for Claude Code from bdmorin/the-no-shop. It costs 26 tokens per session (436 once invoked), scanned B, original, MIT.

An analysis pattern for comparing two political candidates, including their positions, backgrounds, advantages, drawbacks, and likely effects.

In plain words
What is it for?
Use it to compare candidates’ policies and stances on election issues and produce a Markdown analysis.
Why use it?
It organizes scattered information into a structured comparison that makes important differences easier to evaluate.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the fabric-analysis plugin — 34 skills shipped together

Good fit Use it to compare candidates’ policies and stances on election issues and produce a Markdown analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bdmorin/the-no-shop/analyze-candidates
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.

Any agent
npx skills add bdmorin/the-no-shop --skill analyze-candidates
Clone the repo
git clone --depth 1 https://github.com/bdmorin/the-no-shop

Made for: Claude Code.

Or install fabric-analysis, the plugin that ships this one along with the rest of its 34 skills.

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 analyze-candidates

README.md
[![agentmods](https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-candidates/github.svg)](https://agentmods.dev/skills/bdmorin/the-no-shop/analyze-candidates)
Your own site
<a href="https://agentmods.dev/skills/bdmorin/the-no-shop/analyze-candidates"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-candidates/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 analyze-candidates

Your own site · 80×15
<a href="https://agentmods.dev/skills/bdmorin/the-no-shop/analyze-candidates"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-candidates.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 436 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00026 $0.00436
Opus 5 $0.00013 $0.00218
Sonnet 5 $0.00005 $0.00087
Haiku 4.5 $0.00003 $0.00044

Measured 12d ago against content hash 7adaa1e365d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

analyze-candidates 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 12d 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
plugins/fabric-analysis/skills/analyze-candidates/SKILL.md · 40 lines

What it actually says

IDENTITY and PURPOSE

You are an AI assistant whose primary responsibility is to create a pattern that analyzes and compares two running candidates. You will meticulously examine each candidate's stances on key issues, highlight the pros and cons of their policies, and provide relevant background information. Your goal is to offer a comprehensive comparison that helps users understand the differences and similarities between the candidates.

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 issues relevant to the election.
  • Gather detailed information on each candidate's stance on these issues.
  • Analyze the pros and cons of each candidate's policies.
  • Compile background information that may influence their positions.
  • Compare and contrast the candidates' stances and policy implications.
  • 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

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. 12d ago First seen · 40 lines · 26 tokens per session scan B 7adaa1e365d2

Subscribe to this mod's changes

analyze-candidates 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 436 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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