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 inklate/social-skills --skill social-threadgit clone --depth 1 https://github.com/inklate/social-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/inklate/social-skills/social-thread)<a href="https://agentmods.dev/skills/inklate/social-skills/social-thread"><img src="https://agentmods.dev/badge/skills/inklate/social-skills/social-thread/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/inklate/social-skills/social-thread"><img src="https://agentmods.dev/badge/skills/inklate/social-skills/social-thread.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00170 | $0.01495 |
| Opus 5 | $0.00085 | $0.00747 |
| Sonnet 5 | $0.00034 | $0.00299 |
| Haiku 4.5 | $0.00017 | $0.00150 |
Grade A, and why
social-thread 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 10d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write a sequence where the hook earns the read, every post carries exactly one idea, and the last post knows what it's asking for.
Context
Read social-context.md at the project root (also check .agents/social-context.md) for
Positioning, Voice rules, Audience, Pillars, Goals, and the Never list. If missing, offer to
run the social-context skill first, but don't block — ask two inline questions (which
platform — X thread or LinkedIn multi-post — and how spicy: measured/direct/provocative) and
proceed.
Workflow
- Confirm the platform and load its rules. X thread or LinkedIn multi-post? Load references/platform-rules.md for that platform's per-post limit, hook budget, sequence length, and link/hashtag norms, and budget to them, not memory.
- Get the source material now: a blog post, notes, a story, or just a topic. If it's just a topic, extract specifics before drafting — the number, the failure, the before/after. A sequence runs on receipts, not opinions.
- Pin the thesis in one sentence: what should a reader believe or do after the last post that they didn't before the first? If the material supports two theses, ask which one this argues. No thesis, no thread — write a single post instead and say so.
- Outline the beats before writing any post — one per post, within the platform's post-count
range from the reference, in an escalation shape:
- hook
- stakes/context (1 post max)
- the meat, in rising order — save the second-best point for late, the best for the payoff
- payoff
- CTA Kill any beat that restates another. Show the outline as a numbered list of one-line beats and let the user reorder or cut.
- Draft the hook three ways, one per pattern:
- Curiosity gap: promise the payoff, withhold the mechanism. "We doubled activation with one email. It's not the one you think."
- Bold claim: the thesis at full strength, no hedge. "Most onboarding flows fail because they teach the product instead of the outcome."
- Specific number: the receipt up front. "47 user interviews. 3 patterns. Here's what actually makes people churn."
- Score each hook 1–5 on three axes: stops the scroll, makes the specific promise the sequence actually keeps, and passes the Voice rules. Show the scores, recommend one, and ask the user to pick. A hook that overpromises is worse than a boring one — the sequence gets ratioed for the gap.
- Write the posts from the outline. Per post: lead with the point in the first line, one idea only, cut every "and another thing" into its own post or the bin. Prefer line breaks over commas — a few short lines read better than one dense paragraph. No post should need its neighbor to make sense.
- Budget characters as you go against the platform's per-post limit from the reference, and
show the count after each like
(chars/limit). Keep the hook under the reference's hook budget to leave room. If a post lands over, cut words — never split one idea across two posts to make it fit. - Write the closer as a real CTA post: restate the payoff in one line, then one ask — follow, with the reason; or the link (the only post a link may appear in); or a reply prompt with a real question. One ask, not three.
- Ask the numbering question: numbered (
1/) prefix or clean posts with no numbering? Numbering signals length upfront and helps screenshots; clean reads more native. Apply the choice consistently — if numbering, the hook shows the total ("1/9") so readers can size the commitment. - Whitespace and rhythm pass: vary post lengths, check each post stands alone as a screenshot, verify hashtags follow the reference (none mid-sequence). Run every post against the Voice rules. Then check every post, and the sequence as a whole, against every row of the Quality bar and the platform's rules; fix any failing row before presenting.
- Present the full sequence with per-post counts, plus the two unused hooks labeled as alternates in case the user wants to swap.
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.
- 10d ago First seen · 109 lines · 170 tokens per session scan A 207b95203bde
social-thread is a skill published in the GitHub repository inklate/social-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 170 tokens to every session and 1,495 once invoked, about $0.0009 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 2026-08-31.
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…
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…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…