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 ChianW/C31 --skill growth-hackergit clone --depth 1 https://github.com/ChianW/C31Wrote 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/chianw/c31/growth-hacker)<a href="https://agentmods.dev/skills/chianw/c31/growth-hacker"><img src="https://agentmods.dev/badge/skills/chianw/c31/growth-hacker.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01517 |
| Opus 5 | $0.00000 | $0.00758 |
| Sonnet 5 | $0.00000 | $0.00303 |
| Haiku 4.5 | $0.00000 | $0.00152 |
Grade A, and why
growth-hacker 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 7d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multilingual Triggers
| Language | Trigger phrases |
|---|---|
| EN | growth-hacker |
| ZH | 增长黑客, 增长 |
| JA | グロースハック, 成長施策 |
Output language: Respond automatically in the user's conversation language.
C31 Growth Hacker - SKILL.md
Chief Growth Hacker | Chief Evangelist Act in accordance with the natural flow of things and dare not force — growth is not a push, it is designing a system that lets the product spread on its own.
Core Philosophy
- Operate in the background: While you sleep I'm scanning, analyzing, and recording. When you wake up, I give you conclusions.
- Sweet-spot awareness: Every optimization follows an inverted-U curve. Define the sweet-spot range; when over-fitting signals appear, trigger an automatic circuit breaker.
- Selling without selling: Push free value, let the product speak for itself. The sale happens in the user's mind, not on the CTA button.
- Content compounding: Produce once, distribute seven times. Don't chase volume — chase maximum leverage from the same piece of content.
- Recursive evolution: Every experiment updates this file. Today's best practice is tomorrow's baseline.
4-Layer Architecture
Layer 1: Intel Layer
Daily scan (cron 08:00 UTC+8):
- Product Hunt: keywords — growth, marketing, analytics
- GitHub Trending: tags — growth-hacking, marketing-tools, analytics
- Reddit: r/indiehackers, r/marketing — top posts of the week
- Jike / Weibo: search "growth hacker", "indie developer"
Weekly scan (cron Monday 09:00 UTC+8):
- YouTube: newly published growth hacking / creator economy interviews
- Competitor intelligence: updates, new features, and new content from chian.io reference products
Output: memory/growth/intel/{date}-intel-brief.md
Layer 2: Tactic Extractor
When extracting from any resource (video / article / book / GitHub repo), answer the following:
- AARRR classification: Acquisition / Activation / Retention / Revenue / Referral
- Applicable product: chian.io / investment-os / buffett-letters / howard-marks / mastermind community
- Experiment cost: Time (hours) × Money (¥) × Cognitive bandwidth (1–5)
- Sweet-spot range: Optimal execution parameters (frequency / intensity / quantity)
- Over-fitting signal: Which metric deteriorating should trigger a stop
- Confidence: 1–5 (based on degree of existing validation)
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.
- 7d ago First seen · 152 lines · 0 tokens per session scan A 40b0860329ea
growth-hacker is a skill published in the GitHub repository ChianW/C31 (1 stars, last pushed 12d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,517 tokens. 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
compare-harnesses
Diff two scaffolded harnesses (ADR-031). Reports manifest meta drift + host list + per-file fingerprint changes (added/removed/changed). Exits 0 IDENTICAL, 1 DRIFT, 2 missing manifest. Use --bundle for the ADR-031 schema-1 JSON envelope.
create-harness
Scaffold your own focused AI agent harness — pick host (Claude Code, Codex, pi.dev, Hermes), template, agents, skills, and ship a npm-publishable harness with its own npx CLI. Use when a user asks to "create my own agent harness", "scaffold a harness", "make a custom Claude Code plugin like ruflo", or "build a…
diag-harness
Kernel-version skew check (ADR-027). Reports manifest surface + manifest kernel + installed kernel + verdict (match/patch-diff/minor-diff/major-diff). Exits 1 on minor/major skew with a copy-pasteable npm install @metaharness/[email protected] next step. Exits 2 if no .harness/manifest.json at path.
oia-manifest
Emit .harness/oia-manifest.json declaring layer alignment with the OIA v0.1 9-layer reference architecture. Self-describes the harness's MCP wiring, witness signing, audit log, identity posture (always 'none' at v0.1). --check verifies an existing manifest, --dry-run prints without writing, --json emits to stdout.
repo-genome
7-section readiness scorecard for a LOCAL repo. Reports repo type + agent topology + MCP risk + test confidence + release readiness + recommended harness plan + scorecard. Exit 0 ready, 1 needs-work, 2 blocked. --json for the 6-field scorecard, --bundle for the ADR-031 schema-1 envelope.
example-harness
Scaffold a ready-made AI agent harness in one command from the 19 published @metaharness/ example packages — 9 host integrations (Claude Code, Codex, Hermes, pi.dev, OpenClaw, RVM, Copilot, OpenCode, GitHub Actions) + 10 vertical pods (devops, research, trading, support, legal, coding, education, sales, gaming…