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/pantheon-org/tekhne/pick-modelnpx skills add pantheon-org/tekhne --skill pick-modelgit clone --depth 1 https://github.com/pantheon-org/tekhneWrote 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/pantheon-org/tekhne/pick-model)<a href="https://agentmods.dev/skills/pantheon-org/tekhne/pick-model"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/pick-model.svg" alt="Measured on agentmods" 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 | $0.00051 | $0.02852 |
| Opus 5 | $0.00026 | $0.01426 |
| Sonnet 5 | $0.00010 | $0.00570 |
| Haiku 4.5 | $0.00005 | $0.00285 |
Grade A, and why
pick-model 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 5d 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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pick Model
Classify user's task → recommend optimal model with reasoning.
Instructions
- Parse task description from
$ARGUMENTS - Classify against decision matrix below
- Output recommendation using format template
Decision Matrix
Technical Tasks
| Model | When to Use |
|---|---|
| 🟢 Haiku | Simple transforms, formatting, regex, typo fix, status query, template fill, data extraction, factual lookup (no reasoning), file conversion |
| 🟡 Sonnet | Single-file coding, bug fix, code review, moderate debugging, test writing, PR review, standard refactoring, technical docs, API integration (known patterns) |
| 🔴 Opus | Multi-file refactor (3+ files), architecture/design decisions, complex debugging (multi-system), framework migration, security audit, novel algorithm design, system design with trade-offs |
Business & Strategy Tasks
| Model | When to Use |
|---|---|
| 🟢 Haiku | Summarization (<2K words), data extraction, status reports, simple translations, template filling, meeting notes formatting |
| 🟡 Sonnet | Content creation (blog, email, docs), research summaries, competitive analysis, standard business writing, persuasive proposals, marketing copy, customer communications |
| 🔴 Opus | Strategic planning, business model design, M&A analysis, organizational design, change management plans, competitive strategy, market entry decisions, crisis response, stakeholder management (competing interests), long-form reports (>2K words), executive presentations with nuance |
Creative & Analysis Tasks
| Model | When to Use |
|---|---|
| 🟢 Haiku | Basic formatting, simple data viz suggestions, straightforward categorization |
| 🟡 Sonnet | Creative writing, brainstorming (single framework), persona development, user research synthesis, A/B test analysis, survey analysis |
| 🔴 Opus | Multi-framework brainstorming (SCAMPER + Starbursting + trade-off analysis), cross-session pattern detection, bias identification, retrospective analysis, ethical reasoning, strategic foresight, scenario planning |
What ships with it
12 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.
- .audits/2026-04-11/analysis.md 1.2 KB
- .audits/2026-04-11/audit.json 483 B
- .audits/2026-04-11/remediation-plan.md 3.8 KB
- .audits/latest 10 B
- .tessl-plugin/plugin.json 245 B
- evals/instructions.json 1.3 KB
- evals/scenario-01.md 1.1 KB
- evals/scenario-02.md 1.3 KB
- evals/scenario-03.md 1.4 KB
- evals/scenario-04.md 1.6 KB
- evals/scenario-05.md 1.7 KB
- references/reference.md 6.1 KB
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.
- 5d ago First seen · 225 lines · 51 tokens per session scan A 2815724d9f8e
pick-model is a skill published in the GitHub repository pantheon-org/tekhne (10 stars, last pushed 4d ago), licensed MIT. It adds 51 tokens to every session and 2,852 once invoked, about $0.0003 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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