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 KirKruglov/claude-skills-kit --skill industry-trend-briefgit clone --depth 1 https://github.com/KirKruglov/claude-skills-kitWrote 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/kirkruglov/claude-skills-kit/industry-trend-brief)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/industry-trend-brief"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/industry-trend-brief/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/kirkruglov/claude-skills-kit/industry-trend-brief"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/industry-trend-brief.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 | $0.00068 | $0.01468 |
| Opus 5 | $0.00034 | $0.00734 |
| Sonnet 5 | $0.00014 | $0.00294 |
| Haiku 4.5 | $0.00007 | $0.00147 |
Grade A, and why
industry-trend-brief 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Industry Trend Brief
This skill reads a folder of saved articles, excerpts, and text fragments and synthesizes them into a concise weekly trend signals brief for product teams. No web access required — fully file-based, designed for Cowork.
Input:
- Folder path containing articles or text fragments (md or txt files)
Output:
- Markdown response with executive summary, 3–5 ranked theme sections, and "What to Watch" list
Language Detection
Detect the user's language from their message:
- If Russian (or contains Cyrillic): respond in Russian
- If English (or other Latin-script language): respond in English
- If ambiguous: respond in the language of the trigger phrase used
Instructions
Step 1: Validate Input
-
Check that the user provided a folder path.
- If no path given: stop and respond: "Provide the path to a folder containing articles or text fragments in md or txt format."
-
Scan the folder for md and txt files.
- If folder is empty or does not exist: stop and respond: "No readable files found at the provided path. Add md or txt files with article content and try again."
- Skip any non-text files (PDF, DOCX, images); log skipped filenames: "Skipped [filename] — unsupported format."
- Report the number of readable files found: "Found N files: [list filenames]."
-
If any file is shorter than 50 words: include it but flag as "weak signal — limited context."
Step 2: Extract Signals from Each File
-
For each md/txt file, extract:
- Topic: What is the article or fragment about? (1–3 word label)
- Key claims or data points: Specific facts, statistics, or observations stated
- Signal type: Classify as one of — trend, market shift, opportunity, risk, behavioral change
-
If a file contains no substantive content (only navigation fragments, boilerplate, or advertisement text with no body): skip and log: "Skipped [filename] — no substantive content found."
-
If all files are skipped due to no content: stop and respond: "No substantive content found for trend extraction. Ensure files contain article text, not page fragments or boilerplate."
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 142 lines · 68 tokens per session scan A 48eec240b777
industry-trend-brief is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 1,468 once invoked, about $0.0003 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 2026-08-30.
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