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 agentmods add skills/d-o-hub/github-template-ai-agents/triz-solvernpx skills add d-o-hub/github-template-ai-agents --skill triz-solvergit clone --depth 1 https://github.com/d-o-hub/github-template-ai-agentsWrote 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/d-o-hub/github-template-ai-agents/triz-solver)<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/triz-solver"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/triz-solver.svg" alt="Measured on agentmods" 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 | $0.00084 | $0.01438 |
| Opus 5 | $0.00042 | $0.00719 |
| Sonnet 5 | $0.00017 | $0.00288 |
| Haiku 4.5 | $0.00008 | $0.00144 |
Grade A, and why
triz-solver 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 5d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TRIZ Problem Solver
Systematic innovation methodology for software engineering problems.
When to Use
- Complex problems with apparent trade-offs
- System design contradictions (improving X worsens Y)
- Architecture refactoring decisions
- Seeking innovative solutions beyond incremental improvement
- Agent instruction optimization
Core Protocol
Contradiction-First Approach
1. STATE the problem in one sentence
2. IDENTIFY contradiction: "Improving [X] causes [Y] to worsen"
3. CHECK if contradiction is real or apparent
4. RESOLVE using separation principles
5. VALIDATE no new contradictions introduced
Ideal Final Result (IFR)
"The ideal solution delivers all benefits with zero cost"
1. What is the ideal outcome? (no implementation details)
2. What prevents reaching it? (constraints)
3. Which constraints are real vs assumed?
4. Can the system self-solve without added complexity?
40 Inventive Principles (Software Edition)
Top 10 for Software
| # | Principle | Software Analogy | When to Apply |
|---|---|---|---|
| 1 | Segmentation | Split into modules/microservices | Monolithic code, complex functions |
| 2 | Taking out | Extract concerns, separate interfaces | Mixed responsibilities |
| 3 | Local quality | Single-purpose components | Generic implementations |
| 4 | Asymmetry | Context-specific solutions | One-size-fits-all antipattern |
| 5 | Merging | Combine operations, reduce round-trips | Excessive function calls |
| 6 | Universality | Shared interfaces, polymorphism | Duplicate implementations |
| 7 | Nesting | Hierarchical structures, inheritance | Flat complex structures |
| 12 | Inversion | IoC, reverse data flow, pull vs push | Current approach failing |
| 13 | Dynamics | Runtime config, hot-reload, adapters | Static rigid configurations |
| 17 | Another dimension | Add abstraction layer | Impasse at current level |
Extended Reference
What ships with it
4 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.
- 5d ago First seen · 185 lines · 84 tokens per session scan A 56de6329245b
triz-solver is a skill published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed today), licensed MIT. It adds 84 tokens to every session and 1,438 once invoked, about $0.0004 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 2026-08-31.
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