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 iker-gonzalez/antwork-skills --skill antwork-ideasgit clone --depth 1 https://github.com/iker-gonzalez/antwork-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/iker-gonzalez/antwork-skills/antwork-ideas)<a href="https://agentmods.dev/skills/iker-gonzalez/antwork-skills/antwork-ideas"><img src="https://agentmods.dev/badge/skills/iker-gonzalez/antwork-skills/antwork-ideas/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/iker-gonzalez/antwork-skills/antwork-ideas"><img src="https://agentmods.dev/badge/skills/iker-gonzalez/antwork-skills/antwork-ideas.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 | $0.00102 | $0.00683 |
| Opus 5 | $0.00051 | $0.00342 |
| Sonnet 5 | $0.00020 | $0.00137 |
| Haiku 4.5 | $0.00010 | $0.00068 |
Grade A, and why
antwork-ideas 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generating content ideas in Antwork
Generic brainstorming is worthless — the user can get "10 LinkedIn post ideas" from any chatbot. Antwork's edge is data: this account's real top performers and its captured voice. Ground every idea in both. Ideas should look like "more of what already worked for you," not a listicle.
1. Pull the evidence first — never ideate cold
Before generating anything, gather:
get_performance(limit)— the account's top posts by lifetime engagement. This is the proven lane.get_post_context(platform, account_id)— the voice profile, brand context, and recent 3 posts. IfvoiceStaleis true, hand toantwork-voicefirst; ideas in the wrong voice waste everyone's time.
If the account is new and has no performance history, say so plainly and ideate from voice + brand + the user's stated goals instead — but don't pretend you're being data-driven when you aren't.
2. Find the pattern, then extend it
Read the top performers and name why they worked — hook type (bold claim, contrarian take, question, personal story, useful list), topic cluster, format, length. Then generate ideas that reuse the winning mechanism on fresh material. "Your contrarian one-liners outperform — here are 6 more contrarian takes on adjacent topics" beats a random grab bag.
Mix the slate so it isn't one-note: ~60% in the proven lane, ~40% adjacent experiments to find the next winner.
3. Output a ranked, decision-ready list
Give a numbered list. Each idea is one row:
- Hook — the actual opening line, written in the account's voice (not a topic label).
- Platform — the account it fits, respecting that platform's norms.
- Angle — the one-sentence shape of the post.
- Why — the evidence: which past winner or voice trait it draws on.
Rank by expected payoff (proven-lane ideas first). Keep hooks tight and in-voice — apply the same anti-AI-tells rule the voice profile enforces (no "Here's the thing:", no "Let me break it down", no emoji-spray openers).
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 · 45 lines · 102 tokens per session scan A 0a156959b26c
antwork-ideas is a skill published in the GitHub repository iker-gonzalez/antwork-skills (0 stars, last pushed 2mo ago), licensed MIT. It adds 102 tokens to every session and 683 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 2026-08-31.
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