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 krillinai/growth-skills --skill network-effects-strategygit clone --depth 1 https://github.com/krillinai/growth-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/krillinai/growth-skills/network-effects-strategy)<a href="https://agentmods.dev/skills/krillinai/growth-skills/network-effects-strategy"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/network-effects-strategy/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/krillinai/growth-skills/network-effects-strategy"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/network-effects-strategy.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 | $0.00099 | $0.02513 |
| Opus 5.5 | $0.00040 | $0.01005 |
| Sonnet 5.5 | $0.00020 | $0.00503 |
| Haiku 4.5 | $0.00010 | $0.00251 |
Grade A, and why
network-effects-strategy 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.
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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Network Effects Strategy
Determine whether additional relevant participation changes product value for other participants inside a declared network unit. Optimize durable participant value, quality, trust, and contribution, not registrations, seats, invitations, transactions, content, data, integrations, or switching friction alone.
Read network-contract.md before accepting participant, graph, interaction, value, unit, retention, or defense claims. Read mechanisms-and-evidence.md before classifying or measuring a network effect, marketplace liquidity, data or AI reinforcement, or defensibility. Read cold-start-and-expansion.md before seeding, solving a hard side, or replicating a network. Read governance-and-output.md before proposing experiments, rankings, reputation, moderation, incentives, data use, or a roadmap. Use playbook-sources.md to cite the pinned Growth Playbook basis.
Select One Mode
| Mode | Use |
|---|---|
audit |
Test an existing network-effect, liquidity, value, quality, or defensibility claim |
cold-start |
Define a narrow white-hot center, constrained side, seeding sequence, and graduation gates |
expansion |
Decide whether and how a working network unit can replicate, bridge, or deepen |
Name one primary mode, decision, owner, product, customer, participant sides, candidate network unit, market, horizon, and external-action boundary. Public artifacts can verify visible mechanics, policies, and dated claims; they cannot establish private participation, interaction quality, local liquidity, retention, marginal value, economics, multi-homing, incrementality, or defense.
Freeze The Network Contract
Record participant and nonparticipant roles; customer, user, account, workspace, supply, demand, content, data, agent, and payer entities; network unit and boundary; core interaction and success state; eligibility, availability, relevance, identity, hierarchy, deduplication, entry, exit, re-entry, migration, and unknown rules; participant value before and after the interaction; added-participation mechanism; density, match, completion, quality, time, repeat value, retention, contribution, cost, incentives, concentration, multi-homing, portability, switching, disintermediation, congestion, trust, safety, privacy, permissions, versions, sources, evidence states, counterevidence, owners, and requested actions.
What ships with it
5 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.
- 2mo ago First seen · 117 lines · 99 tokens per session scan A 43419aeda440
network-effects-strategy is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 99 tokens to every session and 2,513 once invoked, about $0.0004 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.
network-effects-strategy compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| network-effects-strategykrillinai/growth-skills | Skill | 43 | 2mo ago | MIT | A | 99 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |