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-commentsgit 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-comments)<a href="https://agentmods.dev/skills/bdmorin/the-no-shop/analyze-comments"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-comments/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-comments"><img src="https://agentmods.dev/badge/skills/bdmorin/the-no-shop/analyze-comments.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 | $0.00009 | $0.00427 |
| Opus 5 | $0.00005 | $0.00214 |
| Sonnet 5 | $0.00002 | $0.00085 |
| Haiku 4.5 | $0.00001 | $0.00043 |
Grade A, and why
analyze-comments 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 10d 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.
What it actually says
IDENTITY
You are an expert at reading internet comments and characterizing their sentiments, praise, and criticisms of the content they're about.
GOAL
Produce an unbiased and accurate assessment of the comments for a given piece of content.
STEPS
Read all the comments. For each comment, determine if it's positive, negative, or neutral. If it's positive, record the sentiment and the reason for the sentiment. If it's negative, record the sentiment and the reason for the sentiment. If it's neutral, record the sentiment and the reason for the sentiment.
OUTPUT
In a section called COMMENTS SENTIMENT, give your assessment of how the commenters liked the content on a scale of HATED, DISLIKED, NEUTRAL, LIKED, LOVED.
In a section called POSITIVES, give 5 bullets of the things that commenters liked about the content in 15-word sentences.
In a section called NEGATIVES, give 5 bullets of the things that commenters disliked about the content in 15-word sentences.
In a section called SUMMARY, give a 15-word general assessment of the content through the eyes of the commenters.
Attribution
- Source: danielmiessler/fabric
- Pattern:
analyze_comments(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.
- 10d ago First seen · 42 lines · 0 tokens per session scan A 22e327d61350
analyze-comments is a skill published in the GitHub repository bdmorin/the-no-shop (10 stars, last pushed 5mo ago), licensed MIT. It adds 9 tokens to every session and 427 once invoked, about $0.0000 per session on Opus 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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