claude-blog is a Claude Code skill suite for planning, writing, optimizing, auditing, localizing, and refreshing blog content. It is for content and SEO workflows that produce articles and related publishing artifacts while checking drafts against defined delivery criteria. The catalogue entries provide the skills, agents, plugins, and instruction used by this workflow.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/AgriciDaniel/claude-blognpx agentmods add skills/agricidaniel/claude-blog/blog-discourseWrote 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/agricidaniel/claude-blog/blog-discourse)<a href="https://agentmods.dev/skills/agricidaniel/claude-blog/blog-discourse"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-blog/blog-discourse/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/agricidaniel/claude-blog/blog-discourse"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-blog/blog-discourse.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 105 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Excessive Agency · line 109 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00168 | $0.03293 |
| Opus 5 | $0.00084 | $0.01647 |
| Sonnet 5 | $0.00034 | $0.00659 |
| Haiku 4.5 | $0.00017 | $0.00329 |
Grade A, and why
blog-discourse 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 11d 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog Discourse: Real Discourse Research, API-Free
blog-discourse is the recency + engagement lens that blog-researcher (authority-first) lacks. It asks: in the last 30 days, what are practitioners and customers actually saying about this topic on the public web?
Adapted from the methodology of last30days-skill (Matt Van Horn, MIT, https://github.com/mvanhorn/last30days-skill). The upstream uses platform APIs; this sub-skill uses WebSearch with platform-targeted site operators. No API keys required.
Commands
| Command | Purpose |
|---|---|
/blog discourse <topic> |
Produce a discourse brief at project-root DISCOURSE.md |
/blog discourse <topic> --days 90 |
Widen the freshness window from 30 to 90 days |
/blog discourse <topic> --input results.json |
Skip search; build the brief from a pre-gathered results file. The flag name matches scripts/discourse_research.py --input directly. |
/blog discourse <topic> --output path.md |
Write markdown to a chosen output path and print structured JSON without markdown to stdout. |
/blog discourse <topic> --format json |
Print the full JSON brief to stdout when no --output path is used. |
/blog discourse <topic> --decomposition questions.txt |
Pass newline-delimited decomposition questions into the helper. |
Workflow
Phase 0: Topic Pre-Flight (mandatory)
Before any search, run the four keyword-trap checks from skills/blog/references/research-quality.md (Class 1 demographic shopping, Class 2 numeric trap, Class 3 overly-literal phrase, Class 4 generic single-noun). If the topic matches a class:
- Emit a single one-line note:
Pre-Flight: matched Class N. Action: <reframe or clarifying question>. - If the action is a clarifying question, STOP and wait for the user.
- If the action is a reframe, proceed with the reframed query and document the reframe in the brief.
Running discourse research on a trap topic wastes WebSearch calls and produces noise.
Phase 1: Topic Decomposition (Step 0.55)
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.
- 11d ago First seen · 223 lines · 168 tokens per session scan A fd4cbf404f44
blog-discourse is a skill published in the GitHub repository AgriciDaniel/claude-blog (2,116 stars, last pushed 7d ago), licensed MIT. It adds 168 tokens to every session and 3,293 once invoked, about $0.0008 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.
Other skills, from other repositories
banana
Direct, generate, edit, compare, and review visual assets with current Google Gemini image models. Use for image creation, image editing, reference-based consistency, product and character visuals, text-bearing graphics, grounded diagrams, video-derived images, and multi-model image portfolios.
shorts
Interactive longform-to-shortform video creator. Extracts viral-ready short clips from long videos using Claude as the orchestrator. Transcribes with faster-whisper (GPU), Claude scores and presents candidate segments interactively, user picks and adjusts, Remotion renders premium animated captions (Bold/Bounce/Clean…
repurpose
Content Repurposing Engine. Transforms any content (YouTube videos, blog posts, podcasts, local files, pasted text) into platform-optimized outputs for Twitter/X, Threads, LinkedIn, Instagram, TikTok, Pinterest, Snapchat, Facebook, YouTube Community, Skool, Discord, Reddit, Quora, Medium, WhatsApp Channels, Telegram…
repurpose-medium
Generates Medium publication content from content atoms: long-form articles (1500-3000 words) with narrative arc, SEO-optimized titles and subtitles, tag and publication targeting, and canonical crosspost handling. Optimizes for Google indexing, read time, and publication submission. Sub-skill of the Content…
repurpose-calendar
Generates a 7-day publishing calendar with staggered posts, optimal timing per platform, file references, engagement reminders, and theme-day grouping. Prevents audience fatigue by limiting to 2-3 posts per day. Sub-skill of the Content Repurposing Engine. Use when user says "publishing calendar", "content calendar"…
repurpose-discord
Generates Discord community content from content atoms: announcement posts for channels, discussion thread prompts designed for reply-generation, and rich embed messages with structured fields. Enforces casual peer tone, reaction prompts, and conversation-first design. Sub-skill of the Content Repurposing Engine. Use…