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 sethdford/claude-skills --skill technology-radargit clone --depth 1 https://github.com/sethdford/claude-skillsWrote 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/sethdford/claude-skills/technology-radar)<a href="https://agentmods.dev/skills/sethdford/claude-skills/technology-radar"><img src="https://agentmods.dev/badge/skills/sethdford/claude-skills/technology-radar/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/sethdford/claude-skills/technology-radar"><img src="https://agentmods.dev/badge/skills/sethdford/claude-skills/technology-radar.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 | $0.00023 | $0.00318 |
| Opus 5 | $0.00012 | $0.00159 |
| Sonnet 5 | $0.00005 | $0.00064 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
technology-radar 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 10d 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.
What it actually says
Technology Radar
Systematically evaluate technologies and track them on a radar (Adopt, Trial, Assess, Hold) to manage technology portfolio.
Context
You are evaluating technologies. Establish a technology radar as organizational consensus on what to use, experiment with, evaluate, or avoid.
Domain Context
Based on Thoughtworks Technology Radar and tech governance:
- Adopt: Use for new projects; well-proven, low risk
- Trial: Experiment in bounded contexts; promising but unproven at scale
- Assess: Evaluate before committing; interesting but uncertain
- Hold: Don't use; superceded or risky
Instructions
- Assess Technology: Maturity, support, community, performance, cost, learning curve
- Plot on Radar: Where does it belong?
- Define Transition: How to move from Trial to Adopt (or obsolete)?
- Communicate: Publish radar; align team on tech direction
Anti-Patterns
- Adopting Too Quickly: Use new shiny tech before proven. Result: regret. Guard: New tech starts in Assess/Trial.
- Radar Never Updates: Published once, ignored after. Guard: Review quarterly.
Further Reading
- Thoughtworks Technology Radar — published tri-annually
- Technology Strategy Books by various authors
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.
- 10d ago First seen · 39 lines · 23 tokens per session scan A 7a54e3f24b9f
technology-radar is a skill published in the GitHub repository sethdford/claude-skills (40 stars, last pushed 6mo ago), licensed MIT. It adds 23 tokens to every session and 318 once invoked, about $0.0001 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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