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 agentmods add skills/nicepkg/ai-workflow/blog-post-writernpx skills add nicepkg/ai-workflow --skill blog-post-writergit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/blog-post-writer)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/blog-post-writer"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/blog-post-writer.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.01132 |
| Opus 5 | $0.00028 | $0.00566 |
| Sonnet 5 | $0.00011 | $0.00226 |
| Haiku 4.5 | $0.00006 | $0.00113 |
Grade A, and why
blog-post-writer 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 4d 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nick Nisi Blog Writer
Transform unstructured brain dumps into polished blog posts that sound like Nick Nisi.
Process
1. Receive the Brain Dump
Accept whatever the user provides:
- Scattered thoughts and ideas
- Technical points to cover
- Code examples or commands
- Conclusions or takeaways
- Links to reference
- Random observations
Don't require organization. The mess is the input.
2. Read Voice and Tone
Load references/voice-tone.md to understand Nick's writing style.
Key characteristics:
- Conversational yet substantive
- Vulnerable and authentic
- Journey-based narrative
- Mix of short and long sentences
- Specific examples and real details
- Self-aware humor
3. Check for Story Potential
Read references/story-circle.md to understand the narrative framework.
Determine if the content fits a story structure:
- Is there a journey from one understanding to another?
- Can you identify a problem and resolution?
- Does it follow: comfort → disruption → return changed?
Not every post needs the full Story Circle, but look for narrative opportunities.
4. Organize Content
Structure the material into sections:
Common structures:
- Problem/experience → Journey → Results → Lessons
- Setup → Challenge → Discovery → Application
- Philosophy → How-to → Reflection
- Current state → Past → Learning → Future
Choose the structure that fits the content.
5. Write in Nick's Voice
Apply voice characteristics:
Opening:
- Hook with current position or recent event
- Set up tension or question
- Be direct and honest
Body:
- Vary paragraph length
- Use short paragraphs for emphasis
- Include specific details (tool names, commands, numbers)
- Show vulnerability where appropriate
- Use inline code formatting naturally
- Break up text with headers
Technical content:
- Assume reader knowledge but explain when needed
- Show actual commands and examples
- Be honest about limitations
- Use casual tool references
Tone modulation:
- Technical sections: clear, instructional
- Personal sections: vulnerable, reflective
- Be conversational throughout
What ships with it
2 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.
- 4d ago First seen · 195 lines · 56 tokens per session scan A ff479d245148
blog-post-writer is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 56 tokens to every session and 1,132 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.
Other skills, from other repositories
aatmf-t10-confidentiality-breach
AATMF T10 — Integrity & Confidentiality Breach. System prompt extraction, training-data extraction, model-weight leakage, private-key recovery.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
lazarus-group
Adversary-emulation profile for Lazarus Group (G0032, aka Hidden Cobra / Diamond Sleet / Labyrinth Chollima), a North Korean RGB-linked actor conducting espionage, destructive, and financially motivated operations.
sidewinder-rattlesnake
Adversary-emulation profile for SideWinder (G0121 / Rattlesnake / T-APT-04 / Razor Tiger), India's suspected state-sponsored cyber-espionage actor.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…