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 positioninggit 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/positioning)<a href="https://agentmods.dev/skills/krillinai/growth-skills/positioning"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/positioning/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/positioning"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/positioning.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 | $0.00029 | $0.01679 |
| Opus 5.5 | $0.00012 | $0.00672 |
| Sonnet 5.5 | $0.00006 | $0.00336 |
| Haiku 4.5 | $0.00003 | $0.00168 |
Grade A, and why
positioning 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ICP & Positioning
Reuse Growth Context
At the start, read .agents/growth-context.md when it exists. Reuse only product, customer, market, outcome, constraint, evidence, and routing fields whose scope, definition, source, and date remain compatible; state what is reused and surface conflicts or staleness before asking for decision-changing gaps. The file grants no system access or execution authority, and this Skill must not silently rewrite the primary diagnosis.
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 product, customer, competitive, and market evidence into a scoped reason why a specific customer should choose this product in a specific situation. Treat positioning as a versioned market hypothesis, not a slogan. Public artifacts are sufficient to begin; private research, analytics, CRM, win/loss, retention, or revenue data are optional and must be marked unavailable when absent.
Read positioning-contract.md before setting scope, evidence, claims, or outputs. Read analysis-and-validation.md before mapping alternatives, building value chains, choosing a category, translating the position, or proposing tests. Use playbook-sources.md to cite the pinned Growth Playbook basis.
Select One Mode
| Mode | Use |
|---|---|
build |
Create a positioning hypothesis and downstream message architecture from attributable evidence |
audit |
Test an existing position for scope, alternatives, differentiated value, proof, coherence, and downstream fit |
reposition |
Compare current and proposed positions, migration costs, evidence gaps, and validation gates |
Name one primary mode. Keep observed facts, stakeholder reports, interpretations, hypotheses, choices, and final wording visibly separate.
What ships with it
9 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.
- agents/openai.yaml 220 B
- evals/evals.json 31 KB
- references/analysis-and-validation.md 3.3 KB
- references/modules/icp-segmentation/references/discovery-and-validation.md 2.9 KB
- references/modules/icp-segmentation/references/playbook-sources.md 922 B
- references/modules/icp-segmentation/references/segment-contract.md 2.3 KB
- references/modules/icp-segmentation/SKILL.md 8.4 KB
- references/playbook-sources.md 865 B
- references/positioning-contract.md 2.1 KB
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 · 102 lines · 29 tokens per session scan A bb905a7908b9
positioning is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 1,679 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 2026-09-03.
positioning compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| positioningkrillinai/growth-skills | Skill | 43 | 2mo ago | MIT | A | 29 | 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 |