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/saolalab/clawforce/tech-radarnpx skills add saolalab/clawforce --skill tech-radargit clone --depth 1 https://github.com/saolalab/clawforceWhat 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 | $0.00033 | $0.00668 |
| Opus 5 | $0.00016 | $0.00334 |
| Sonnet 5 | $0.00007 | $0.00134 |
| Haiku 4.5 | $0.00003 | $0.00067 |
Grade A, and why
tech-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 3d 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.
Tech Radar
The Tech Radar organizes technologies into four rings based on adoption status:
Four Rings
Adopt
Technologies we use in production and recommend for new projects.
Criteria:
- Proven in production at scale
- Well-documented and maintained
- Team has expertise
- Low risk, high value
Trial
Technologies we're experimenting with in non-critical projects.
Criteria:
- Promising but not yet proven
- Limited production experience
- Evaluating fit for our use case
- Small risk, potential high value
Assess
Technologies worth exploring to understand potential value.
Criteria:
- Emerging or interesting
- Not yet evaluated
- May solve future problems
- Unknown risk/value
Hold
Technologies we've decided not to adopt or are phasing out.
Criteria:
- Doesn't fit our needs
- Better alternatives exist
- Deprecated or unmaintained
- High risk or low value
Evaluation Criteria
When assessing a new technology, evaluate:
- Maturity — How long has it been around? Production-ready?
- Community — Active maintainers? Good documentation? Stack Overflow presence?
- Performance — Meets our performance requirements?
- Ecosystem — Integrations, libraries, tooling available?
- Learning Curve — How long to become productive?
- Vendor Lock-in — Open source or proprietary? Portable?
- Cost — Licensing, infrastructure, operational costs?
- Security — Security track record? Regular updates?
- Team Fit — Does the team have skills? Can we hire for it?
Tech Radar Template
# Tech Radar — {Quarter} {Year}
## Adopt
- {Technology} — {Brief reason}
## Trial
- {Technology} — {Brief reason, project using it}
## Assess
- {Technology} — {Brief reason, what we're exploring}
## Hold
- {Technology} — {Brief reason, migration plan if applicable}
Migration Planning Template
When moving from Hold to Adopt (or adopting a replacement):
# Migration Plan: {From Technology} → {To Technology}
## Current State
- **Usage**: {Where is it used?}
- **Dependencies**: {What depends on it?}
- **Risk**: {What breaks if we don't migrate?}
## Target State
- **Timeline**: {Target completion date}
- **Approach**: {Big bang | Gradual | Strangler pattern}
- **Success Criteria**: {How do we know it's done?}
## Migration Steps
1. {Step 1}
2. {Step 2}
3. {Step 3}
## Rollback Plan
{What if migration fails?}
## Timeline
- {Phase 1}: {Date range}
- {Phase 2}: {Date range}
- {Phase 3}: {Date range}
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.
- 3d ago First seen · 111 lines · 33 tokens per session scan A a8e2983f41eb
tech-radar is a skill published in the GitHub repository saolalab/clawforce (38 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 668 once invoked, about $0.0002 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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