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-anomaly-investigationgit 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-anomaly-investigation)<a href="https://agentmods.dev/skills/krillinai/growth-skills/growth-anomaly-investigation"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/growth-anomaly-investigation/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-anomaly-investigation"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/growth-anomaly-investigation.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 | $0.00072 | $0.02447 |
| Opus 5.5 | $0.00029 | $0.00979 |
| Sonnet 5.5 | $0.00014 | $0.00489 |
| Haiku 4.5 | $0.00007 | $0.00245 |
Grade A, and why
growth-anomaly-investigation 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Growth Anomaly Investigation
Determine whether an observed metric change is a measurement issue, behavioral change, mixed effect, expected variation, or unresolved. Freeze comparability first, quantify and reconcile the change, locate contribution without losing the parent total, and test candidate mechanisms without converting timing, attribution, or segment correlation into causality.
Read anomaly-contract.md before accepting a chart, metric, source, baseline, comparison, maturity, or resolution. Read integrity-and-decomposition.md before reconciling dashboards, testing data continuity, quantifying a change, estimating expected variation, decomposing segments, or searching cohorts. Read timeline-mechanisms-and-evidence.md before building a change timeline, ranking mechanisms, interpreting releases, experiments, attribution, fraud, or defining next evidence. Read governance-market-transfer-and-actions.md before closure, monitoring, market transfer, personal data, specialist handoffs, or external actions. Read output-contract.md before delivery. Use playbook-sources.md for the pinned Growth Playbook basis.
Select One Mode
| Mode | Use |
|---|---|
triage |
Decide whether a reported change is measurable, mature, material, and more consistent with data, behavior, expected variation, or unresolved evidence |
investigate |
Reconcile sources, quantify and decompose the change, build a timeline, and compare candidate mechanisms |
review |
Audit an existing analysis for contract, denominator, maturity, baseline, decomposition, multiplicity, evidence, and causal errors |
Name one primary mode, incident, decision, owner, and deadline. A request to redefine the metric belongs to growth-measurement; implement event or identity changes through growth-measurement; analyze a frozen funnel through growth-diagnosis; analyze cohorts through retention; reconcile customer or recurring-value states through retention; reconcile channel credit through growth-measurement; test causality through growth-measurement; and select the primary growth constraint through growth-diagnosis.
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 · 118 lines · 72 tokens per session scan A 19acd19a2654
growth-anomaly-investigation is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 72 tokens to every session and 2,447 once invoked, about $0.0003 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-anomaly-investigation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| growth-anomaly-investigationkrillinai/growth-skills | Skill | 43 | 2mo ago | MIT | A | 72 | 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 |