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 techwolf-ai/ai-first-toolkit --skill brainstorm-opiniongit clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkitWrote 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/techwolf-ai/ai-first-toolkit/brainstorm-opinion)<a href="https://agentmods.dev/skills/techwolf-ai/ai-first-toolkit/brainstorm-opinion"><img src="https://agentmods.dev/badge/skills/techwolf-ai/ai-first-toolkit/brainstorm-opinion.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00328 |
| Opus 5 | $0.00023 | $0.00164 |
| Sonnet 5 | $0.00009 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
brainstorm-opinion 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 8d 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
Brainstorm Opinion from Recent Posts
Generate opinion piece ideas based on LinkedIn posts from the last month.
Process
- Run
./scripts/print-published.sh linkedin-postto read all published LinkedIn posts - Identify recent posts (check created/lastUpdated dates) with themes that have broader appeal
- For promising topics, consider:
- What angle would work for a newspaper audience?
- What's the broader societal implication?
- What contrarian or nuanced take could be developed?
- How can this be expanded to ~3500 characters?
Evaluation Criteria
Good candidates for opinion pieces:
- Topics with societal impact beyond tech professionals
- Ideas that can be grounded in local context
- Themes where personal experience adds credibility
- Subjects with room for a stronger point of view
Output
Create 1-3 idea files in content/posts/ with:
- stage: 01-ideas
- type: opinion
- Reference to inspiring LinkedIn post in content field
- Core insight adapted for newspaper audience
Creating New Files
Get timestamp first:
date -u +"%Y%m%d-%H%M%S" # For slug
date -u +"%Y-%m-%dT%H:%M:%S.000Z" # For created/lastUpdated
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.
- 8d ago First seen · 43 lines · 45 tokens per session scan A 9e4867f4eb4b
brainstorm-opinion is a skill published in the GitHub repository techwolf-ai/ai-first-toolkit (98 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 328 once invoked, about $0.0002 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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