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-hookgit 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-hook)<a href="https://agentmods.dev/skills/inklate/social-skills/social-hook"><img src="https://agentmods.dev/badge/skills/inklate/social-skills/social-hook/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-hook"><img src="https://agentmods.dev/badge/skills/inklate/social-skills/social-hook.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 | $0.00143 | $0.01829 |
| Opus 5 | $0.00072 | $0.00915 |
| Sonnet 5 | $0.00029 | $0.00366 |
| Haiku 4.5 | $0.00014 | $0.00183 |
Grade A, and why
social-hook 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 11d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Given a draft or a topic, produce eight hook options across proven patterns, score each on scroll-stopping power and audience fit, and recommend the top two.
Context
Before writing anything, read social-context.md (also check .agents/social-context.md). You need:
- Brand voice: formal or casual, "I" or "we", banned words, humor tolerance
- Audience: who they are, what they already believe, what they scroll past daily
- The Never list, if present — a hook that breaks a red line is disqualified no matter how well it stops the scroll
## Platforms, if present, for where this post will run
If the file is missing, offer to run the social-context skill first — but do not block on it. Ask two or three quick questions inline (Who is the audience? Which platform? Tone in one word: playful, authoritative, or plain?) and proceed with the answers.
Workflow
- Extract the payload. Read the draft or topic and isolate the single most surprising, specific, or emotionally charged element — a number, a reversal, a confession, a result. The hook sells that element, never the topic in general. "We changed our pricing" is a topic; "we doubled our price and churn went down" is a payload.
- Confirm the platform. If the user has not said, ask once. Hook budgets differ (see Quality bar), and a hook shaped for X reads clipped and abrupt on LinkedIn. If the post targets multiple platforms, score against the primary one and note any hook that would need trimming elsewhere.
- Decide what the hook must do for this post. A launch announcement needs reach (favor bold claim, number); a discussion post needs replies (favor question, contrarian); a story post needs read-through (favor cold-open, curiosity gap). Name the job in one line before drafting — it becomes a tiebreaker when scores are close.
- Write exactly eight hooks, one per pattern, no two opening with the same word:
- Curiosity gap — open a loop only the body can close ("The pricing email we almost didn't send").
- Bold claim — a defensible absolute ("Most pricing pages are designed to be ignored").
- Specific number/result — lead with the metric ("We raised prices 2x. Churn dropped 14%.").
- Contrarian take — argue against the audience's default belief, then earn it in the body.
- Story cold-open — drop into the scene mid-action, zero preamble ("The email had been live six minutes when the first cancellation arrived").
- Direct question — one the reader answers "yes" or "ouch" to, never a rhetorical shrug.
- "How I/we" framing — process promise with a concrete outcome ("How we repriced without a single angry email").
- Listicle promise — numbered and scoped ("3 pricing mistakes we made so you don't have to").
- Apply hook hygiene to every option:
- No throat-clearing: "I've been thinking a lot about...", "So, quick story", "Excited to share" all die on sight.
- Front-load a concrete noun or number into the first five words — that is all a skimming eye reads.
- Cut every adjective not doing work; "huge" and "amazing" are filler, "14%" is a hook.
- Never promise what the body cannot cash — an overpromising hook gets the post ratioed, not read.
- Write for the fold: the hook must work even if it is the only line anyone sees.
- Stay inside the red lines: if a hook trips the Never list or a voice rule, rewrite it within the same pattern — never ship a disqualified hook, and never drop below eight to avoid one.
- Score scroll-stopping power 1–10. Judge each hook as it would appear in a feed between two other posts: does it force a second read? Anchor the scale:
- 9–10 — physically hard to scroll past; specific, tense, or pattern-breaking.
- 6–8 — solid; a reader interested in the topic stops, others may not.
- 3–5 — competent but familiar; blends into the feed.
- 1–2 — announces a topic instead of selling a payload.
- Score audience fit 1–10 against the voice and audience from social-context. Anchor the scale:
- 9–10 — indistinguishable from the brand's voice and squarely aimed at this reader.
- 6–8 — on-topic and on-audience, but the voice is generic; anyone could have written it.
- 3–5 — off-voice or aimed at the wrong reader; needs a rewrite to fit.
- 1–2 — breaks a voice rule, or talks down to / over the audience. A 10/10 stopper that sounds nothing like the brand is a liability — score honestly and let the numbers expose the tradeoff.
- Write a one-line why for each. Name the mechanism ("opens a loop", "the number does the arguing", "picks a fight with the default advice"), not a compliment. If a hook scores low, the why says what is missing, so the user learns the pattern.
- Recommend the top two. Prefer hooks strong on both axes over a single-axis spike. If both winners use the same pattern, swap one for the best hook of a different pattern and say why — the user deserves two genuinely different bets.
- Offer one revision round. If the user picks a hook and asks for variations, produce three tighter takes on that single pattern rather than re-running all eight — depth beats breadth once a direction is chosen.
What ships with it
1 file 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.
- 11d ago First seen · 97 lines · 143 tokens per session scan A 3ed96a726b81
social-hook is a skill published in the GitHub repository inklate/social-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 143 tokens to every session and 1,829 once invoked, about $0.0007 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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