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 growth-operating-reviewgit 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/growth-operating-review)<a href="https://agentmods.dev/skills/krillinai/growth-skills/growth-operating-review"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/growth-operating-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/krillinai/growth-skills/growth-operating-review"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/growth-operating-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 | $0.00034 | $0.02494 |
| Opus 5.5 | $0.00014 | $0.00998 |
| Sonnet 5.5 | $0.00007 | $0.00499 |
| Haiku 4.5 | $0.00003 | $0.00249 |
Grade A, and why
growth-operating-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 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Growth Reviews, Decisions & Risk
Integrated Capabilities
This Skill consolidates adjacent workflows behind one trigger. Use the main workflow for core requests. When a request matches a module below, read that module before executing it:
Turn a recurring growth meeting into a versioned decision system. Focus on material changes, constraints, customer and business outcomes, assumptions, risks, and commitments rather than exhaustive metrics or activity. A review compares evidence with prior expectations and decisions; it does not manufacture causality, rewrite history, or authorize execution.
Read review-contract.md before accepting cadence, period, as-of date, audience, metrics, comparisons, or evidence. Read evidence-and-reconciliation.md before interpreting movement, targets, forecasts, growth accounting, experiments, or anomalies. Read operating-review-views.md before constructing customer, lifecycle, acquisition, economic, portfolio, capacity, or risk views. Read decisions-cadence-and-governance.md before assigning decisions, commitments, cadence, market transfer, privacy, or external actions. Read output-contract.md before delivery. Use playbook-sources.md for the pinned Growth Playbook basis.
Select One Mode
| Mode | Use |
|---|---|
build |
Create a review from bounded supplied evidence and prior decision records |
audit |
Inspect whether an existing review is reproducible, comparable, decision-focused, and governed |
refresh |
Update a prior review with new mature evidence while preserving its version and history |
Name one cadence: weekly, monthly, or quarterly. A weekly review handles fresh operating signals, incidents, commitments, and near-term gates. A monthly review reconciles mature lifecycle, economic, forecast, experiment, and portfolio evidence. A quarterly review tests strategic assumptions, capacity, and portfolio direction. Cadence does not override metric maturity.
What ships with it
6 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 · 124 lines · 34 tokens per session scan A d388033bea95
growth-operating-review is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 2,494 once invoked, about $0.0001 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.
growth-operating-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| growth-operating-reviewkrillinai/growth-skills | Skill | 43 | 2mo ago | MIT | A | 34 | 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 |