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 agentmods add skills/ai-answer/contentrepurposesystem/hooksnpx skills add AI-Answer/ContentRepurposeSystem --skill hooksgit clone --depth 1 https://github.com/AI-Answer/ContentRepurposeSystemWhat 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 | $0.00093 | $0.01801 |
| Opus 5 | $0.00046 | $0.00901 |
| Sonnet 5 | $0.00019 | $0.00360 |
| Haiku 4.5 | $0.00009 | $0.00180 |
Grade A, and why
hooks 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 2d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Hook Generator — Kallaway Framework
Generate high-retention YouTube hooks using the full Kallaway desire-based system. Every hook is scored against the Four Commandments and delivered as a Three Hook Alignment (visual + spoken + text).
When This Skill Activates
Activate when the user wants to:
- Write a hook for a video they're planning
- Generate opening lines or intro scripts
- Improve an existing hook
- Get multiple hook options to test
Example triggers:
- "Write hooks for my RAG video"
- "Hook ideas for 'How I Automated 90% of Social Media'"
- "Help me nail the intro for this video"
/hooksor/hooks <video concept>
Input
The user provides one or more of:
- Video concept/topic — what the video is about
- Idea brief — output from
/ideation - Outline — output from
/outlines - Key talking points — the most interesting facts/reveals
If the user only provides a topic, ask ONE question: "What's the most surprising thing in this video that your audience probably doesn't know?" That answer becomes the hook's core material.
The Kallaway Framework
Phase 1 — Identify the Desire
Map to one of the Four Horsemen:
- Money — making it, saving it, growing it
- Time — saving it, not wasting it, getting hours back
- Health — reducing stress, avoiding burnout, mental clarity
- Status — looking smart, being ahead, impressing peers
Apply One Standard Deviation: Don't target the core desire directly — that triggers the BS detector. Package it one step away using a proxy desire.
| Core Desire | Direct (BS detector) | Proxy (one standard deviation) |
|---|---|---|
| Money | "Make more money with AI" | "Automate your entire content pipeline" |
| Time | "Save 10 hours a week" | "Never start a Claude Code session from scratch" |
| Status | "Become an AI expert" | "Build what your team thinks requires a dev shop" |
| Health | "Reduce work stress" | "Stop manually doing what AI handles in seconds" |
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.
- 2d ago First seen · 175 lines · 93 tokens per session scan A 7c21d2abbf0d
hooks is a skill published in the GitHub repository AI-Answer/ContentRepurposeSystem (12 stars, last pushed 2mo ago), licensed MIT. It adds 93 tokens to every session and 1,801 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
feature-state-keeper
Use when starting, advancing, finishing, or blocking a feature. Manages featurelist.json + progress.md + session-handoff.md. Default-FAIL enforced.
anti-hallucination-gates
Use before claiming done/fixed/passing — or before asserting something is absent: not installed, not available, no such function, couldn't find it. Default-FAIL runs both ways — every claim needs an evidence path. A negative claim must carry its search scope and observation date; state calibrated uncertainty when…
cpp-static-analysis
Use in C/C++ projects when reviewing changes or hunting bugs. Runs clang-tidy/cppcheck/IWYU. Needs compilecommands.json. Changed lines only.
capturing-golden-rules
Use when the same mistake or bad pattern recurs, when a code-review comment is really a convention worth enforcing, or when you catch AI-generated drift/slop and want it to never happen again. Encodes the lesson as a durable rule in golden-rules.md — the feedback-flywheel / harness-layer-learning ratchet — instead of…
cpp-sanitizers
Use in C/C++ projects for crashes, hangs, UB, data races, memory errors. ASan/UBSan/TSan runtime checks. Build sanitizer config separately.
docs-lookup
Use when looking up unfamiliar tools, APIs, errors, library behavior. Context7 → WebSearch → calibrated uncertainty fallback chain. Don't guess.