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 travisjneuman/.claude --skill innovationgit clone --depth 1 https://github.com/travisjneuman/.claudeWrote 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/travisjneuman/.claude/innovation)<a href="https://agentmods.dev/skills/travisjneuman/.claude/innovation"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/innovation/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/travisjneuman/.claude/innovation"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/innovation.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 | $0.00049 | $0.02528 |
| Opus 5.5 | $0.00020 | $0.01011 |
| Sonnet 5.5 | $0.00010 | $0.00506 |
| Haiku 4.5 | $0.00005 | $0.00253 |
Grade A, and why
innovation 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 — 484 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Innovation Expert
Comprehensive innovation frameworks for ideation, portfolio management, and innovation strategy.
Innovation Strategy
Innovation Horizons
THREE HORIZONS MODEL:
HORIZON 1 - CORE (70% of resources):
- Extend and defend core business
- Incremental improvements
- Process optimization
- Timeline: 0-2 years
- Risk: Low
- Returns: Known
HORIZON 2 - ADJACENT (20% of resources):
- Extend into new markets/products
- New capabilities
- Business model evolution
- Timeline: 2-5 years
- Risk: Medium
- Returns: Emerging
HORIZON 3 - TRANSFORMATIONAL (10% of resources):
- Create new businesses
- Disruptive innovation
- Emerging technologies
- Timeline: 5-10+ years
- Risk: High
- Returns: Uncertain
Innovation Types
| Type | Description | Example |
|---|---|---|
| Incremental | Improvements to existing | Product upgrades |
| Adjacent | New to company | New market entry |
| Disruptive | New to industry | Business model innovation |
| Radical | New to world | Breakthrough technology |
Innovation Portfolio
PORTFOLIO BALANCE:
BY TYPE:
- Core: 50-70%
- Adjacent: 20-30%
- Transformational: 10-20%
BY STAGE:
- Discovery: 40%
- Incubation: 30%
- Acceleration: 20%
- Scale: 10%
BY TIME HORIZON:
- Short-term (0-2 yr): 60%
- Medium-term (2-5 yr): 30%
- Long-term (5+ yr): 10%
PORTFOLIO METRICS:
- Pipeline value
- Stage conversion rates
- Time to market
- ROI by initiative
Innovation Processes
Design Thinking
DESIGN THINKING PHASES:
1. EMPATHIZE
- User research
- Observation
- Interviews
- Journey mapping
- Persona development
2. DEFINE
- Problem framing
- Point of view statement
- How might we questions
- Design principles
3. IDEATE
- Brainstorming
- Mind mapping
- Analogies
- Crazy 8s
- Concept selection
4. PROTOTYPE
- Low-fidelity mockups
- Paper prototypes
- Clickable wireframes
- Minimum viable product
5. TEST
- User testing
- Feedback collection
- Iteration
- Validation
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.
- 2mo ago First seen · 484 lines · 49 tokens per session scan A 7f8a66a089da
innovation is a skill published in the GitHub repository travisjneuman/.claude (108 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 2,528 once invoked, about $0.0002 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.
innovation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| innovationtravisjneuman/.claude | Skill | 108 | yesterday | MIT | A | 49 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |