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/maxtechera/ship/waterfallnpx skills add maxtechera/ship --skill waterfallgit clone --depth 1 https://github.com/maxtechera/shipWhat 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 | $0.00024 | $0.00634 |
| Opus 5 | $0.00012 | $0.00317 |
| Sonnet 5 | $0.00005 | $0.00127 |
| Haiku 4.5 | $0.00002 | $0.00063 |
Grade A, and why
content-waterfall 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 yesterday.
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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Waterfall
Generate a multi-platform bundle from a single pillar asset.
Inputs Required
- Pillar draft asset (from
content-composeor existing piece) - Research refs used for grounding
- Offer/CTA rules for the run
- Channel cadence constraints (which platforms, which days)
Derivative Matrix
From 1 pillar, produce all applicable derivatives:
| Derivative | Platform | Notes |
|---|---|---|
| Reel script | Instagram / TikTok | Hook + problem + solution + CTA, ≤60s |
| IG caption | 150-300 words, 5-10 hashtags | |
| IG carousel | 8-10 slides, hook slide + value slides + CTA slide | |
| X/Twitter thread | Twitter/X | 6-10 tweets, hook tweet first |
| LinkedIn post | Professional angle, metrics-led, longer form | |
| Newsletter block | Personal angle, conversational | |
| YouTube description | YouTube | SEO-structured, chapters if long-form |
| TikTok caption | TikTok | 100-150 words, 3-5 hashtags |
| Avatar script | HeyGen / Synthesia | Script + visual cue markers |
| CTA variants (3) | All | Cold / warm / hot temperatures |
| Comment reply pack (5) | All | Seed replies for engagement |
| Hook variants (5) | All | Per-platform alternatives for testing |
Hook Engine
Before finalizing the bundle, generate per-platform hook variants:
- 5 hook options per primary platform
- Select 1 primary + 2 alternates per platform for A/B testing
- Hooks must use VoC language — never generic claims
Draft Schedule Plan
Suggest a posting schedule that fills calendar gaps:
Day 0: Primary reel (anchor piece)
Day 1: Carousel (expands on key point from reel)
Day 2: Thread (data/proof angle)
Day 4: LinkedIn (professional framing)
Day 7: Newsletter block
Day 10: Republish variant (short format)
Verification
- Per-platform formatting is correct (character limits, aspect ratios, hashtag counts)
- CTAs align with run offer and do not contradict strategy
- No generic AI filler; hooks are specific and grounded in evidence
- Lineage is documented: which claim in each derivative came from the pillar
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.
- yesterday First seen · 79 lines · 24 tokens per session scan A 1d00a3bdf529
content-waterfall is a skill published in the GitHub repository maxtechera/ship (2 stars, last pushed 4mo ago), licensed MIT. It adds 24 tokens to every session and 634 once invoked, about $0.0001 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…