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/cintia09/codenook/framework-selectornpx skills add cintia09/CodeNook --skill framework-selectorgit clone --depth 1 https://github.com/cintia09/CodeNookWhat 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 | $0.00002 | $0.00380 |
| Opus 5 | $0.00001 | $0.00190 |
| Sonnet 5 | $0.00000 | $0.00076 |
| Haiku 4.5 | $0.00000 | $0.00038 |
Grade A, and why
framework-selector 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 2d 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
Research framework selector
Use this skill during framework_select or when a role needs to justify
why a framework belongs in the report.
Inputs
- Research topic.
- Audience and decision goal.
- Output type: decision brief, full report, market research, forecast, causal analysis, review.
- Time horizon and geography.
- Available evidence and constraints.
Selection rules
| If the report needs... | Prefer | Avoid |
|---|---|---|
| A compact decision brief | OSTIN + evidence labels | Full PESTLE/SWOT unless the brief asks for it |
| Macro environment scan | PESTLE | 5 Why unless a causal problem is explicit |
| Strategic position / opportunity | SWOT + evidence labels | SWOT without external evidence |
| Cause of an observed outcome | 5 Why or driver tree | Forcing exactly five layers |
| Future uncertainty | Scenario forecasting | Single-point predictions |
| Final report structure | OSTIN + report template | Framework jargon in executive summary |
Output shape
## Framework recommendation
| Framework | Use | Phase | Reason | Caveat |
|---|---|---|---|---|
## Rejected frameworks
| Framework | Reason rejected |
|---|---|
Safety checks
- 5 Why is optional and should stop when evidence runs out.
- Scenario forecasting must include base/upside/downside, triggers, confidence, and uncertainty.
- Do not imply that framework selection gives access to data sources.
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.
- 2d ago First seen · 55 lines · 2 tokens per session scan A e5761e8fa830
framework-selector is a skill published in the GitHub repository cintia09/CodeNook (5 stars, last pushed 3mo ago), licensed MIT. It adds 2 tokens to every session and 380 once invoked, about $0.0000 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 2026-08-31.
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