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hook-retention-teardown

hook-retention-teardown is a skill for Claude Code, Codex from scrollmark/socialgpt-mcp. It costs 154 tokens per session (1,380 once invoked), scanned A, original, MIT.

A tool-guided analysis of a creator’s best and worst social-media video openings. It compares transcripts and pacing to identify patterns linked with viewer retention, meaning how long people keep watching.

In plain words
What is it for?
Use it to compare top and bottom posts, study hooks and openings, measure speaking pace, and review first-person language or calls to action.
Why use it?
It replaces general advice with a comparison of the creator’s own successful and unsuccessful videos.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 10repo 1mo ago A scan 154 tokens original MIT

Good fit Use it to compare top and bottom posts, study hooks and openings, measure speaking pace, and review first-person language or calls to action.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/scrollmark/socialgpt-mcp/hook-retention-teardown
View source ↗ scrollmark/socialgpt-mcp gpt.social
Install

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.

Any agent
npx skills add scrollmark/socialgpt-mcp --skill hook-retention-teardown
Clone the repo
git clone --depth 1 https://github.com/scrollmark/socialgpt-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for hook-retention-teardown

README.md
[![agentmods](https://agentmods.dev/badge/skills/scrollmark/socialgpt-mcp/hook-retention-teardown/github.svg)](https://agentmods.dev/skills/scrollmark/socialgpt-mcp/hook-retention-teardown)
Your own site
<a href="https://agentmods.dev/skills/scrollmark/socialgpt-mcp/hook-retention-teardown"><img src="https://agentmods.dev/badge/skills/scrollmark/socialgpt-mcp/hook-retention-teardown/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.

agentmods 80×15 button for hook-retention-teardown

Your own site · 80×15
<a href="https://agentmods.dev/skills/scrollmark/socialgpt-mcp/hook-retention-teardown"><img src="https://agentmods.dev/badge/skills/scrollmark/socialgpt-mcp/hook-retention-teardown.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 154 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,380 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00154 $0.01380
Opus 5.5 $0.00062 $0.00552
Sonnet 5.5 $0.00031 $0.00276
Haiku 4.5 $0.00015 $0.00138

Measured 2mo ago against content hash 544070c74e1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hook-retention-teardown 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 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/analyze.py, scripts/sgpt_lib.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/hook-retention-teardown/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hook & Retention Teardown

Find the language and pacing patterns that separate a creator's winners from their flops — so they learn what their own best hooks and openings do that their weak ones don't. This is the deterministic, transcript-level complement to qualitative hook advice: instead of vibes, you measure words-per-second, opener style, first-person language, and CTA placement, then show exactly where the top cohort diverges from the bottom.

This skill pairs with the SocialGPT MCP server (https://mcp.gpt.social/mcp). The MCP provides the data; this skill provides the deterministic analysis and a shareable report. If the SocialGPT tools below aren't available, the user needs to connect the MCP first: https://gpt.social/integrations/mcp

When to use

Trigger on requests like: "why do my best videos pop and others flop?", "what makes a good hook for me?", "compare my top and bottom posts", "what should my openings do?", "do a teardown of my hooks", "what do my winners do differently?"

Workflow

  1. Confirm access. Make sure the SocialGPT MCP tools are connected. If list_videos isn't available, point the user to the connect page above and stop.

  2. Find the winners and flops. Call:

    list_videos(sort="top", limit=20)

    Rank by metrics.views. Take the top ~5 and the bottom ~5. Exclude Instagram videos with views == 0 (Instagram hides reel plays, so a 0 there isn't a real flop).

  3. Fetch each video's full analysis. For every selected video, call:

    get_video_analysis(platform, post_id)

    This returns the transcript, hooks, and suggested hooks the teardown needs.

    • Right after ingest this may return {"status": "pending"} — that's not an error. Wait ~20s and retry. Only include a video once its analysis is ready (it has a transcript).
    • Skip any video that still has no transcript after retrying; it just won't count toward the teardown.

Read the full file on GitHub · 122 lines

Files

What ships with it

3 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.

Changes

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.

  1. 2mo ago First seen · 122 lines · 154 tokens per session scan A 544070c74e1c

Subscribe to this mod's changes

hook-retention-teardown is a skill published in the GitHub repository scrollmark/socialgpt-mcp (10 stars, last pushed 1mo ago), licensed MIT. It adds 154 tokens to every session and 1,380 once invoked, about $0.0006 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 2026-08-31.

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Related

hook-retention-teardown compared with skills from other repositories

hook-retention-teardown next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
hook-retention-teardownscrollmark/socialgpt-mcpSkill101mo agoMITA154Claude Code, Codex
9router-sttdecolua/9routerSkill32k9d agoMITA63Claude Code, Codex
9router-videodecolua/9routerSkill32k9d agoMITA74Claude Code, Codex
9router-web-fetchdecolua/9routerSkill32k9d agoMITA67Claude Code, Codex
9router-web-searchdecolua/9routerSkill32k9d agoMITA74Claude Code, Codex
9router-ttsdecolua/9routerSkill32k9d agoMITA70Claude Code, Codex
9routerdecolua/9routerSkill32k9d agoMITA84Claude Code, Codex