Borrowing it
Nothing to install: this file belongs to LeanOS-Technologies/strategy-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/LeanOS-Technologies/strategy-os/main/.claude/skills/stg-designing-solutions/SKILL.mdgit clone --depth 1 https://github.com/LeanOS-Technologies/strategy-osWrote 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/leanos-technologies/strategy-os/stg-designing-solutions)<a href="https://agentmods.dev/skills/leanos-technologies/strategy-os/stg-designing-solutions"><img src="https://agentmods.dev/badge/skills/leanos-technologies/strategy-os/stg-designing-solutions/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/leanos-technologies/strategy-os/stg-designing-solutions"><img src="https://agentmods.dev/badge/skills/leanos-technologies/strategy-os/stg-designing-solutions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00042 | $0.02443 |
| Opus 5 | $0.00021 | $0.01222 |
| Sonnet 5 | $0.00008 | $0.00489 |
| Haiku 4.5 | $0.00004 | $0.00244 |
Grade A, and why
stg-designing-solutions 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 9d 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Solution Design
Design solution architecture: select growth model, assemble positioning, map features to problems, define MVP scope, design growth loops. Output is the Solution Design section of the register -- a derived design artifact constrained by all three hypotheses, not a hypothesis itself.
Procedure
Step 1: Load Hypothesis Context [S]
Read: problem, segment, unit economics hypotheses. Also read competitive analysis (gaps, alternatives) for positioning assembly.
Extract constraints each hypothesis places on the solution:
- Problem -> what must be solved (top problems by severity)
- Segment -> buyer type (user=buyer or committee), ACV range, time-to-value expectations
- Unit Economics -> cost constraints (gross margin target, COGS limits)
Extract positioning inputs:
- Problem claim -> the problem statement for the positioning template
- Segment claim -> the target for the positioning template
- Competitive analysis -> alternatives and gaps for the "unlike" clause
- Aha moment (assembled in Step 5) -> unique capability clause
Produce: hypothesis constraints table + positioning inputs.
Gate: constraints_extracted: bool -- at least one constraint from each hypothesis documented, positioning inputs identified.
- Pass: Step 2.
- Fail: If a hypothesis is missing, note the gap. Proceed with available constraints, flagging reduced confidence.
Step 2: Select Growth Architecture [R]
Score buyer characteristics against decision matrix:
| Factor | PLG | Network | Traditional | Source |
|---|---|---|---|---|
| ACV | < $5K | < $5K | > $25K | Segment hypothesis |
| Buyer type | User = buyer | User = buyer | Committee | Segment hypothesis |
| Time-to-value | < 1 day | < 1 day | Weeks+ | Product nature |
| Collaboration | Optional | Inherent | Either | Product nature |
| Shareability | Medium | High | Low | Product nature |
For ACV between $5K-$25K: Hybrid. Document which factors pulled in which direction.
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.
- 9d ago First seen · 201 lines · 42 tokens per session scan A f689ebcbeb8b
stg-designing-solutions is a skill published in the GitHub repository LeanOS-Technologies/strategy-os (37 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 2,443 once invoked, about $0.0002 per session on Opus 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.
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