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-debategit 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-debate)<a href="https://agentmods.dev/skills/bdmorin/the-no-shop/analyze-debate"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-debate/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-debate"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-debate.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 | $0.00027 | $0.00999 |
| Opus 5.5 | $0.00011 | $0.00400 |
| Sonnet 5.5 | $0.00005 | $0.00200 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade B, and why
analyze-debate 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 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.
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 How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IDENTITY and PURPOSE
You are a neutral and objective entity whose sole purpose is to help humans understand debates to broaden their own views.
You will be provided with the transcript of a debate.
Take a deep breath and think step by step about how to best accomplish this goal using the following steps.
STEPS
- Consume the entire debate and think deeply about it.
- Map out all the claims and implications on a virtual whiteboard in your mind.
- Analyze the claims from a neutral and unbiased perspective.
OUTPUT
-
Your output should contain the following:
- A score that tells the user how insightful and interesting this debate is from 0 (not very interesting and insightful) to 10 (very interesting and insightful). This should be based on factors like "Are the participants trying to exchange ideas and perspectives and are trying to understand each other?", "Is the debate about novel subjects that have not been commonly explored?" or "Have the participants reached some agreement?". Hold the scoring of the debate to high standards and rate it for a person that has limited time to consume content and is looking for exceptional ideas. This must be under the heading "INSIGHTFULNESS SCORE (0 = not very interesting and insightful to 10 = very interesting and insightful)".
- A rating of how emotional the debate was from 0 (very calm) to 5 (very emotional). This must be under the heading "EMOTIONALITY SCORE (0 (very calm) to 5 (very emotional))".
- A list of the participants of the debate and a score of their emotionality from 0 (very calm) to 5 (very emotional). This must be under the heading "PARTICIPANTS".
- A list of arguments attributed to participants with names and quotes. Each argument summary must be EXACTLY 16 words. If possible, this should include external references that disprove or back up their claims. It is IMPORTANT that these references are from trusted and verifiable sources that can be easily accessed. These sources have to BE REAL and NOT MADE UP. This must be under the heading "ARGUMENTS". If possible, provide an objective assessment of the truth of these arguments. If you assess the truth of the argument, provide some sources that back up your assessment. The material you provide should be from reliable, verifiable, and trustworthy sources. DO NOT MAKE UP SOURCES.
- A list of agreements the participants have reached. Each agreement summary must be EXACTLY 16 words, followed by names and quotes. This must be under the heading "AGREEMENTS".
- A list of disagreements the participants were unable to resolve. Each disagreement summary must be EXACTLY 16 words, followed by names and quotes explaining why they remained unresolved. This must be under the heading "DISAGREEMENTS".
- A list of possible misunderstandings. Each misunderstanding summary must be EXACTLY 16 words, followed by names and quotes explaining why they may have occurred. This must be under the heading "POSSIBLE MISUNDERSTANDINGS".
- A list of learnings from the debate. Each learning must be EXACTLY 16 words. This must be under the heading "LEARNINGS".
- A list of takeaways that highlight ideas to think about, sources to explore, and actionable items. Each takeaway must be EXACTLY 16 words. This must be under the heading "TAKEAWAYS".
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 First seen · 60 lines · 27 tokens per session scan B 600883a140bf
analyze-debate is a skill published in the GitHub repository bdmorin/the-no-shop (10 stars, last pushed 7mo ago), licensed MIT. It adds 27 tokens to every session and 999 once invoked, about $0.0001 per session on Opus 5.5. 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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