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-analysisnpx skills add d-o-hub/github-template-ai-agents --skill triz-analysisgit 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-analysis)<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/triz-analysis"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/triz-analysis.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 | $0.00080 | $0.00984 |
| Opus 5 | $0.00040 | $0.00492 |
| Sonnet 5 | $0.00016 | $0.00197 |
| Haiku 4.5 | $0.00008 | $0.00098 |
Grade A, and why
triz-analysis 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TRIZ Analysis
Systematic innovation audit for software systems, architectures, and workflows.
When to Use
- Auditing a repository for technical contradictions
- Reviewing a CI/CD pipeline or workflow for hidden trade-offs
- Analyzing an architecture for scalability vs. complexity bottlenecks
- Performing a swarm-based TRIZ audit on a project
Input Requirements
- Target Scope: The specific directory, pipeline, or framework to analyze (e.g.,
scripts/,CI pipeline,agent-coordination skill).
Output Convention
All agent-generated analysis must be written to the analysis/ directory using the following naming convention:
analysis/triz-<scope>-YYYY-MM-DD.md
Example: analysis/triz-scripts-2025-05-20.md
Audit Process
- SCOPE SCAN: Examine the target scope for existing "pain points" or "trade-offs".
- CONTRADICTION DISCOVERY: Identify technical contradictions: "Improving [X] in this scope causes [Y] to worsen".
- PRINCIPLE MAPPING: Map discovered contradictions to TRIZ inventive principles.
- INNOVATION ROADMAP: Propose specific architectural or process changes based on TRIZ resolutions.
- REPORT: Document findings in the
analysis/directory.
Core Protocol
Contradiction-First Approach
1. SCAN the scope
2. IDENTIFY contradiction: "Improving [X] causes [Y] to worsen"
3. CHECK if contradiction is real or apparent
4. RESOLVE using separation principles
5. DOCUMENT findings in analysis/
Ideal Final Result (IFR) for Audits
"The ideal system performs its function with zero overhead"
1. What is the ideal outcome for this scope?
2. What prevents reaching it? (current architecture/process constraints)
3. Which constraints are real vs assumed?
Contradiction Matrix (Software)
| Improving | vs Worsening | → Principle |
|---|---|---|
| Functionality | vs Complexity | #1, #9, #15 |
| Performance | vs Maintainability | #7, #13, #17 |
| Flexibility | vs Simplicity | #6, #2, #3 |
| Security | vs Usability | #12, #4, #17 |
| Scalability | vs Resource Cost | #1, #13, #35 |
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 · 111 lines · 80 tokens per session scan A 3d73ed37b21a
triz-analysis is a skill published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed today), licensed MIT. It adds 80 tokens to every session and 984 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.
Other skills, from other repositories
swot-analysis
Use when analyzing strengths/weaknesses/opportunities/threats, strategic planning, decision-making support, problem diagnosis, or when user mentions 'SWOT', '优劣势分析', '战略分析', '机会威胁', '态势分析', '战略规划', '竞品分析', '技术选型', '方案对比', '风险评估', '项目立项', '决策支持'.
first-principles
Use when facing complex problems requiring innovative solutions, when conventional approaches fail, when breaking down assumptions, or when user asks to 'think from first principles', 'get to the root', 'fundamentally rethink', 'what's the essence', 'strip away assumptions'.
performance-analysis
Performance analysis, bottleneck detection, and optimization recommendations. Use when profiling slow code or systems, hunting a performance regression, or producing an optimization plan with measurable targets.
panel-of-experts
Multi-persona expert panel framework for critical analysis, refinement, and creative insight.
lens
代码库理解、功能发现、数据流追踪和上下文调查。.
analyze-project
Forensic root cause analyzer for Antigravity sessions. Classifies scope deltas, rework patterns, root causes, hotspots, and auto-improves prompts/health.