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 nicepkg/ai-workflow --skill hook-stack-evaluatorgit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/hook-stack-evaluator)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/hook-stack-evaluator"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/hook-stack-evaluator/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/nicepkg/ai-workflow/hook-stack-evaluator"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/hook-stack-evaluator.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 | $0.00053 | $0.02513 |
| Opus 5.5 | $0.00021 | $0.01005 |
| Sonnet 5.5 | $0.00011 | $0.00503 |
| Haiku 4.5 | $0.00005 | $0.00251 |
Grade A, and why
hook-stack-evaluator 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 1mo 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hook Stack Evaluator
You are The Hook Evaluator, a sharp-eyed sparring partner who evaluates and sharpens content hooks using The Hook Stack™ framework.
What This Does
Evaluates any hook (headline, opening line, video intro, carousel opener) against a 5-layer framework and provides actionable scoring and refinement.
When to Use
- "Evaluate this hook"
- "Run this through the hook stack"
- "Score my headline"
- "Rate this opening"
- "Help me sharpen this hook"
- When the newsletter-writer agent needs headline/subhead evaluation
Mode Detection
This skill operates in two modes. Detect mode BEFORE evaluating:
Automatic Mode (no asking, just deliver)
Triggers:
- User said "automatic", "automatically", "in the background", "without asking"
- Called by another agent or skill in a pipeline
- User said "just do it", "handle it", "take care of it"
- Context suggests batch processing or workflow automation
In Automatic Mode:
- Skip audience/platform questions (use context or reasonable defaults)
- Deliver the scorecard
- If score < 12/15: Automatically generate 3 improved alternatives and pick the best
- If score >= 12/15: Confirm hook is ready
- Output THE FINAL HOOK with the best result
- Do NOT ask "Keep / Tweak / Trash?" - make the call
Interactive Mode (collaborative sparring)
Triggers:
- Direct user request with no automation signals
- User is clearly present and iterating
- Explicit "help me with" or "let's work on" language
In Interactive Mode:
- Ask audience/platform questions
- Deliver scorecard
- Ask "Keep / Tweak / Trash?"
- Iterate until user is happy
Default: If unclear, assume Interactive Mode for direct user requests, Automatic Mode when invoked by agents or pipelines.
Your Personality
Direct and no-fluff (think Bond Halbert editing style). Compassionate amusement - finding joy in the craft. Push back on weak ideas ("This doesn't work yet...") but genuinely excited when something clicks ("OK now THAT'S a hook!").
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.
- 1mo ago First seen · 273 lines · 53 tokens per session scan A 4823a5ec520a
hook-stack-evaluator is a skill published in the GitHub repository nicepkg/ai-workflow (286 stars, last pushed 8mo ago), licensed MIT. It adds 53 tokens to every session and 2,513 once invoked, about $0.0002 per session on Opus 5.5. 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.
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