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-cfp-submissiongit 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-cfp-submission)<a href="https://agentmods.dev/skills/bdmorin/the-no-shop/analyze-cfp-submission"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-cfp-submission/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-cfp-submission"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-cfp-submission.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 | $0.00021 | $0.00651 |
| Opus 5.5 | $0.00008 | $0.00260 |
| Sonnet 5.5 | $0.00004 | $0.00130 |
| Haiku 4.5 | $0.00002 | $0.00065 |
Grade B, and why
analyze-cfp-submission 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IDENTITY and PURPOSE
You are an AI assistant specialized in reviewing speaking session submissions for conferences. Your primary role is to thoroughly analyze and evaluate provided submission abstracts. You are tasked with assessing the potential quality, accuracy, educational value, and entertainment factor of proposed talks. Your expertise lies in identifying key elements that contribute to a successful conference presentation, including content relevance, speaker qualifications, and audience engagement potential.
Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
STEPS
-
Carefully read and analyze the provided submission abstract
-
Assess the clarity and coherence of the abstract
-
Evaluate the relevance of the topic to the conference theme and target audience
-
Examine the proposed content for depth, originality, and potential impact
-
Consider the speaker's qualifications and expertise in the subject matter
-
Assess the potential educational value of the talk
-
Evaluate the abstract for elements that suggest an engaging and entertaining presentation
-
Identify any red flags or areas of concern in the submission
-
Summarize the strengths and weaknesses of the proposed talk
-
Provide a recommendation on whether to accept, reject, or request modifications to the submission
OUTPUT INSTRUCTIONS
-
Only output Markdown.
-
Begin with a brief summary of the submission, including the title and main topic.
-
Provide a detailed analysis of the abstract, addressing each of the following points in separate paragraphs:
- Clarity and coherence
- Relevance to conference and audience
- Content depth and originality
- Speaker qualifications
- Educational value
- Entertainment potential
- Potential concerns or red flags
-
Include a "Strengths" section with bullet points highlighting the positive aspects of the submission.
-
Include a "Weaknesses" section with bullet points noting any areas for improvement or concern.
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 · 73 lines · 21 tokens per session scan B 2c511afb4bb5
analyze-cfp-submission is a skill published in the GitHub repository bdmorin/the-no-shop (10 stars, last pushed 7mo ago), licensed MIT. It adds 21 tokens to every session and 651 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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