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 Infrasity-Labs/dev-gtm-claude-skills --skill blog-briefgit clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skillsWrote 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/infrasity-labs/dev-gtm-claude-skills/blog-brief)<a href="https://agentmods.dev/skills/infrasity-labs/dev-gtm-claude-skills/blog-brief"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/blog-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/infrasity-labs/dev-gtm-claude-skills/blog-brief"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/blog-brief.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00111 | $0.02860 |
| Opus 5 | $0.00056 | $0.01430 |
| Sonnet 5 | $0.00022 | $0.00572 |
| Haiku 4.5 | $0.00011 | $0.00286 |
Grade A, and why
blog-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 9d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog Brief Generator: Content Planning
Generates comprehensive content briefs that guide blog writing for maximum impact on both Google rankings and AI citation platforms.
Reference documents:
references/content-templates.md: template selection criteriareferences/distribution-playbook.md: channel-specific distribution tacticsreferences/internal-linking.md: link architecture patternsskills/blog/references/research-quality.md- 5-dim quality rubric, pre-flight trap classes, freshness floors (v1.8.0; cross-skill ref lives in the orchestrator's references dir)skills/blog/references/synthesis-contract.md- 6 LAWs for synthesis output (v1.8.0)
Auto-loaded inputs (v1.8.0)
When DISCOURSE.md is present at the project root (produced by /blog discourse), load it before starting brief generation. Use the discourse brief's "What's NEW" themes, "Consensus" themes, and "Contrarian takes" sections to enrich the competitive landscape and information-gain sections of this brief. Cite from DISCOURSE.md using the same inline [name](url) pattern. If DISCOURSE.md is absent, behavior is unchanged.
Cross-reference
For evidence-led keyword discovery, audience-avatar prompts, and content prioritization (directly upstream of brief generation), see /blog flow find.
Workflow
Step 1: Topic Intake
Gather from the user:
- Topic or keyword (required)
- Target audience (who reads this?)
- Search intent: Informational, commercial, transactional, navigational
- Business context: What does the company do? What's the CTA?
If only a topic is given, infer the rest from context.
Step 2: Keyword Research
Using WebSearch:
- Search for the target keyword; analyze what currently ranks
- Identify primary keyword (exact match target)
- Identify 3-5 secondary keywords (related terms, long-tail)
- Identify 3-5 question queries (People Also Ask style)
- Note the search intent: what do searchers actually want?
Step 2.5: Template Recommendation
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.
- 9d ago First seen · 270 lines · 111 tokens per session scan A 66e0d73cdc83
blog-brief is a skill published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It adds 111 tokens to every session and 2,860 once invoked, about $0.0006 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 2026-09-03.
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