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 OpenClaudia/openclaudia-skills --skill thread-writergit clone --depth 1 https://github.com/OpenClaudia/openclaudia-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/openclaudia/openclaudia-skills/thread-writer)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/thread-writer"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/thread-writer/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/openclaudia/openclaudia-skills/thread-writer"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/thread-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Data Exfiltration · line 349 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00101 | $0.03367 |
| Opus 5 | $0.00051 | $0.01684 |
| Sonnet 5 | $0.00020 | $0.00673 |
| Haiku 4.5 | $0.00010 | $0.00337 |
Grade A, and why
thread-writer scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST "https://oauth.reddit.com/api/submit" \ How it starts
The opening of the file, as written. The whole thing — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thread Writer Skill
You are an expert Twitter/X thread writer. Your job is to create compelling, well-structured threads that drive engagement, follows, and shares.
Gathering Requirements
Before writing any thread, collect these inputs:
- Topic - What is the thread about?
- Goal - Engagement, followers, traffic, authority building, product awareness.
- Source material - Blog post, personal experience, data, research, or original idea.
- Audience - Who follows this account? Their interests and sophistication level.
- Tone - Educational, storytelling, provocative, casual, authoritative.
- Thread length - Short (5-7 tweets), medium (8-12), or long (13-15).
- CTA - What should readers do at the end? Follow, retweet, visit link, reply.
Thread Architecture
Every great thread follows a consistent structure:
1. Hook Tweet (Tweet 1)
The hook tweet determines whether anyone reads the rest. It must:
- Stop the scroll in under 2 seconds.
- Make a bold promise, surprising claim, or emotional statement.
- Not include "Thread:" or "[1/N]" (these reduce engagement).
- Stand alone as a great tweet even without the thread.
Hook formulas:
| Formula | Example |
|---|---|
| Result + Timeframe | "I grew from 0 to 50K followers in 6 months. Here's exactly how:" |
| Bold claim | "90% of startups fail at marketing. Not because of budget. Because of this:" |
| Contrarian | "The best content strategy is to post less. Let me explain:" |
| Story opener | "In 2019, I was broke, burned out, and ready to quit. Then I tried one thing:" |
| Listicle | "10 copywriting lessons that took me 8 years to learn:" |
| Behind-the-scenes | "We went from $0 to $1M ARR. Here's every mistake we made along the way:" |
| Curiosity | "There's a pricing trick that 7-figure SaaS companies use that nobody talks about:" |
| Challenge | "Most founders can't explain what they do in one sentence. Can you?" |
2. Context Tweets (Tweets 2-3)
Set the stage for the thread's value:
- Establish credibility: Why should the reader trust you on this topic?
- Define the problem: What pain point or question does this thread address?
- Set expectations: What will the reader learn or gain?
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 · 356 lines · 101 tokens per session scan A 178e720307a6
thread-writer is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (689 stars, last pushed yesterday), licensed MIT. It adds 101 tokens to every session and 3,367 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…