Borrowing it
Nothing to install: this file belongs to TheSmokeDev/taskchad-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TheSmokeDev/taskchad-os/master/.claude/skills/linkedin/SKILL.mdgit clone --depth 1 https://github.com/TheSmokeDev/taskchad-osWrote 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/thesmokedev/taskchad-os/linkedin)<a href="https://agentmods.dev/skills/thesmokedev/taskchad-os/linkedin"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/linkedin.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 5.1 | $0.00093 | $0.00668 |
| Opus 5 | $0.00046 | $0.00334 |
| Sonnet 5 | $0.00019 | $0.00134 |
| Haiku 4.5 | $0.00009 | $0.00067 |
Grade A, and why
linkedin 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 7d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use the framework-owned social queue and visible-browser writer. Keep operator voice, brand files, account identity, and targets in runtime configuration or private memory; never hard-code them into this public skill.
Post workflow
- Start the guided
/linkedinworkflow. - Offer exactly two creation modes:
- Cook Together: ask for the rough idea, lesson, story, link, transcript, or bullets. Generate one draft plus image, then iterate on either.
- Run It for Me: select a configured topic and generate one complete draft plus image without another ideation question.
- Store every result as a normal
draftqueue row. Never bypass the queue. - Present the copy and image together. Support:
- natural-language copy feedback;
image: <direction>or the Redo Image button;- Start Over or Reject;
- Approve & Post.
- Treat Approve & Post as the only publishing authorization. It approves that exact row and dispatches it through the configured channel executor.
- Verify the platform receipt and return the permalink. A generated draft, browser click, or local success message alone is not proof of publication.
Writing contract
- Preserve true specifics supplied by the operator.
- Never invent metrics, quotes, customers, results, credentials, or experience.
- Demonstrate expertise through evidence rather than labels.
- Avoid corporate filler, engagement bait, hashtags by default, and em/en dashes.
- Make the first two lines earn attention without using a canned hook.
- Keep the post as long as the idea requires and stop when it is done.
Image contract
- Use the channel's configured design file and optional persona pack.
- Generate an image that supports the post rather than repeating the caption.
- Keep identity-sensitive references private and runtime-resolved.
- On revision, update the same editable queue row and show the new image before approval.
- If media generation fails, say so clearly; never imply an image is attached.
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.
- 7d ago First seen · 67 lines · 93 tokens per session scan A fab9de332eca
linkedin is a skill published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed 14d ago), licensed MIT. It adds 93 tokens to every session and 668 once invoked, about $0.0005 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
writing
A writing guide for turning verified facts and calculations into finished text for a specific audience. It follows the requested language, structure, and length.
regex-mastery
Use this skill when writing regular expressions, debugging pattern matching,optimizing regex performance, or implementing text validation. Triggers on regex, regular expressions, pattern matching, lookahead, lookbehind, named groups, capture groups, backreferences, and any task requiring text pattern matching.
ws-ckpt
A Linux-only tool for creating and managing workspace snapshots. A snapshot is a saved view of files that can later be compared, restored, listed, or deleted.
mnemon
Persistent memory for MiniMax Code. Recall durable context, store important facts and decisions, and link related memories with the mnemon CLI.
beevibe-team-mesh-negotiation
Multi-round negotiation protocol — covers both initiator and peer roles. Use when about to call negotiate(), when receiving a intent block as a peer, or when receiving an 'escalated' sentinel from a blocked respondnegotiate. Covers proposal crafting, counter-strategy, deadlock detection, when to accept early…
graphify
Use when the user invokes /graphify or asks to build, update, or query a knowledge graph from a folder of files (code, docs, papers, notes, images). Triggers: 'map this codebase', 'graph my notes', 'what is connected across these files', 'community detection', 'GraphRAG', incremental graph update, Neo4j/SVG/GraphML…