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 chengkj99/kj-skills --skill content-growth-reviewgit clone --depth 1 https://github.com/chengkj99/kj-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/chengkj99/kj-skills/content-growth-review)<a href="https://agentmods.dev/skills/chengkj99/kj-skills/content-growth-review"><img src="https://agentmods.dev/badge/skills/chengkj99/kj-skills/content-growth-review/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/chengkj99/kj-skills/content-growth-review"><img src="https://agentmods.dev/badge/skills/chengkj99/kj-skills/content-growth-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00103 | $0.01397 |
| Opus 5 | $0.00051 | $0.00698 |
| Sonnet 5 | $0.00021 | $0.00279 |
| Haiku 4.5 | $0.00010 | $0.00140 |
Grade A, and why
content-growth-review 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 12d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Growth Review
Use this skill after media data has been updated. It is the analysis layer, not the crawler.
- Use
$kangjian-douyin-mediaor another platform collector first to refresh raw data. - Use this skill to diagnose growth problems, decide content direction, and produce topic plans.
- Default workspace is the LLM Wiki repo.
- Default review output path:
raw/studio/funnel/reviews/. - Default topic output path:
raw/studio/funnel/backlog/manual/.
Core Workflow
- Collect the latest inputs with
scripts/collect_growth_inputs.py. - Read the generated input bundle and any referenced source reports.
- Diagnose data problems by separating:
- content-market fit
- topic clarity
- account positioning
- hook/opening strength
- format and series continuity
- comment-to-follow conversion
- product/course/community conversion
- Produce a review report.
- Convert high-value findings into topic suggestions.
- Write selected topic pools to
raw/studio/funnel/backlog/manual/unless the user only wants chat advice.
Quick Start
python3 <skill_dir>/scripts/collect_growth_inputs.py \
--wiki-root "<wiki-root>" \
--platform douyin \
--output "/tmp/content-growth-review-inputs.md"
Then read /tmp/content-growth-review-inputs.md and the linked source files.
Required Reads
Always check the relevant files if they exist:
raw/studio/funnel/published/<platform>/latest-*.md- latest
raw/studio/funnel/published/<platform>/*review-analysis.md - latest
raw/studio/funnel/published/<platform>/*full-ledger.mdonly when comment examples or exact work details are needed raw/studio/funnel/backlog/manual/raw/studio/funnel/backlog/queue.mdwiki/playbooks/topic-bank/series-planning.md
For Douyin, also check:
raw/studio/funnel/published/douyin/manifest/*.jsonif presentraw/studio/funnel/published/douyin/runs/when comparing snapshots
Review Report Contract
Write a dated Markdown report when doing a real review:
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.
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.
- 12d ago First seen · 172 lines · 103 tokens per session scan A 8e0bc6b344c1
content-growth-review is a skill published in the GitHub repository chengkj99/kj-skills (14 stars, last pushed 11d ago), licensed MIT. It adds 103 tokens to every session and 1,397 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.
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