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 competitive-intelligencegit 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/competitive-intelligence)<a href="https://agentmods.dev/skills/krillinai/growth-skills/competitive-intelligence"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/competitive-intelligence/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/competitive-intelligence"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/competitive-intelligence.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 | $0.00083 | $0.02407 |
| Opus 5.5 | $0.00033 | $0.00963 |
| Sonnet 5.5 | $0.00017 | $0.00481 |
| Haiku 4.5 | $0.00008 | $0.00241 |
Grade A, and why
competitive-intelligence 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Intelligence
Build a versioned, evidence-traced view of the alternatives a defined customer can choose in a defined situation. Keep public facts, vendor claims, customer reports, observed behavior, private outcomes, hypotheses, and strategic implications separate; competitive intelligence reduces decision uncertainty, not uncertainty itself.
Read intelligence-contract.md before accepting competitor, customer, capability, price, market, or performance evidence. Read research-and-sources.md before collecting, classifying, quoting, or refreshing sources. Read comparison-and-change-analysis.md before building matrices, normalizing offers, scoring, or monitoring changes. Read decisions-and-governance.md before recommending implications, transferring findings across markets, or handling private evidence. Read output-contract.md before delivery. Use playbook-sources.md to cite the pinned Growth Playbook basis.
Select One Mode
| Mode | Use |
|---|---|
landscape |
Discover and bound alternatives for one customer job, buying situation, market, and decision |
compare |
Compare a defined set of alternatives against explicit decision criteria and evidence |
monitor |
Detect, verify, version, and route changes that may alter an existing decision |
Name one primary mode, decision, owner, product or portfolio, customer and buying unit, job and trigger, market, language, locale, segment, alternative boundary, time horizon, evidence cutoff, review date, and external-action boundary. Public pages can verify visible wording, documented capabilities, displayed prices, release statements, and public proof at a dated capture. They cannot establish complete market coverage, private customers, realized value, win rate, retention, revenue, cost, market share, causality, confidential roadmaps, or future outcomes.
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 · 90 lines · 83 tokens per session scan A c184d0227f57
competitive-intelligence is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 83 tokens to every session and 2,407 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.
competitive-intelligence compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| competitive-intelligencekrillinai/growth-skills | Skill | 43 | 2mo ago | MIT | A | 83 | 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 |