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 magnus919/agent-skills --skill technology-radargit clone --depth 1 https://github.com/magnus919/agent-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/magnus919/agent-skills/technology-radar)<a href="https://agentmods.dev/skills/magnus919/agent-skills/technology-radar"><img src="https://agentmods.dev/badge/skills/magnus919/agent-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/magnus919/agent-skills/technology-radar"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/technology-radar.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 | $0.00084 | $0.01304 |
| Opus 5 | $0.00042 | $0.00652 |
| Sonnet 5 | $0.00017 | $0.00261 |
| Haiku 4.5 | $0.00008 | $0.00130 |
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 9d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Technology Radar
CTO methodology for making technology decisions, governing architecture, measuring engineering effectiveness, managing technical debt, and operating an innovation pipeline. These frameworks help a CTO balance short-term delivery velocity with long-term platform health.
When Not to Use
- Route enterprise capability maps, operating-model design, and current/target-state roadmaps to
enterprise-architecture. This skill stays focused on technology portfolio posture and governance mechanics; usesoftware-architecturefor system-level target design. - Route the durable record of one consequential decision to
adr-authoring; use this skill to choose the governance path and connect the decision to standards or radar feedback. - Route system design and code changes to the relevant engineering skill, security requirements and threat modeling to
secure-software-engineering, and live operations or SLO work tosite-reliability-engineering.
Domain Model
| Domain | Covers | Artifact |
|---|---|---|
| Technology Radar | Adopt/Trial/Assess/Hold quadrants, tool selection criteria, deprecation policy | Technology radar document |
| Build vs Buy | TCO analysis, decision matrices, vendor evaluation, integration cost | Build-vs-buy recommendation |
| Architecture Governance | Automated policy, federated decisions, advice processes, centralized review, standards, exceptions, and feedback | Governance decision record, standard, exception, radar update |
| Engineering Metrics | DORA (deploy frequency, lead time, MTTR, change failure rate), SPACE, DevEx | Engineering dashboard, health report |
| Technical Debt | Interest calculation, remediation prioritization, principal estimation | Technical debt register |
| Innovation Pipeline | Horizon scanning, POC criteria, production readiness gates | Innovation funnel, POC report |
When to Load
What ships with it
7 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.
- 9d ago First seen · 79 lines · 84 tokens per session scan A 9809f0f865fd
technology-radar is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 1,304 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 2026-09-03.
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