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 rd-managementgit 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/rd-management)<a href="https://agentmods.dev/skills/travisjneuman/.claude/rd-management"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/rd-management/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/rd-management"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/rd-management.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 | $0.00049 | $0.01766 |
| Opus 5.5 | $0.00020 | $0.00706 |
| Sonnet 5.5 | $0.00010 | $0.00353 |
| Haiku 4.5 | $0.00005 | $0.00177 |
Grade A, and why
rd-management 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 17d 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
R&D Management Expert
Comprehensive R&D frameworks for research strategy, technology roadmapping, and innovation pipeline management.
R&D Strategy
R&D Portfolio Framework
PORTFOLIO DIMENSIONS:
BY TYPE:
- Basic Research (10-20%)
- Applied Research (20-30%)
- Development (50-70%)
BY TIME HORIZON:
- Near-term (<2 years)
- Mid-term (2-5 years)
- Long-term (>5 years)
BY RISK:
- Core (incremental)
- Adjacent (new territory)
- Breakthrough (transformational)
PORTFOLIO BALANCE:
Mature companies: More development, less research
Growth companies: More research, balanced development
Disruption risk: More breakthrough investment
R&D Investment Analysis
| Metric | Formula | Benchmark |
|---|---|---|
| R&D Intensity | R&D Spend / Revenue | Industry specific |
| R&D Efficiency | New Product Revenue / R&D Spend | >2x |
| Patent Yield | Patents / R&D Spend | Varies |
| Time to Market | Concept to launch | Decreasing |
| Project Success | Successful / Total projects | 20-40% |
R&D Operating Models
CENTRALIZED:
- Single R&D organization
- Economies of scale
- Technology leverage
- Long-term focus
Pros: Efficiency, coordination
Cons: Distant from business
DECENTRALIZED:
- Business unit R&D
- Close to market
- Faster response
- Application focus
Pros: Relevance, speed
Cons: Duplication, short-term
HYBRID:
- Central research labs
- BU development teams
- Shared services
- Technology transfer
Pros: Balance
Cons: Coordination complexity
Technology Roadmapping
Roadmap Structure
TECHNOLOGY ROADMAP LAYERS:
MARKET LAYER:
- Customer needs
- Market trends
- Competitive dynamics
- Regulatory changes
PRODUCT LAYER:
- Product generations
- Feature evolution
- Platform decisions
- Release timing
TECHNOLOGY LAYER:
- Core technologies
- Enabling technologies
- Emerging technologies
- Technology dependencies
RESOURCE LAYER:
- Capabilities needed
- Skill development
- Partnerships
- Infrastructure
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.
- 17d ago First seen · 310 lines · 49 tokens per session scan A 0488c853aaa0
rd-management is a skill published in the GitHub repository travisjneuman/.claude (101 stars, last pushed today), licensed MIT. It adds 49 tokens to every session and 1,766 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 2026-09-30.
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