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SKILL verified MIT Self-run

Premium Router

skill-toolmonsters-premium-router-premium-router · by ToolMonsters

Use Claude Fable 5 intelligence at close to Claude Haiku 4.5 cost. Three commands. distill has Fable write a reusable rulebook once. classify has Haiku apply it on volume, with deterministic escalation back to Fable. analyze has Fable judge a document corpus, with Haiku workers doing the reading when the corpus is large. Trigger on "classify this prospect reply", "qualify this lead", "distill a r…

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Install

$ agentstack add skill-toolmonsters-premium-router-premium-router

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Premium Router v2: Fable brain, Haiku price

Three commands, one principle: Fable does the JUDGMENT, Haiku does the VOLUME. Every routing decision is deterministic and every response carries a cost_log with token counts and estimated USD.

classify (Haiku, cheap, the high-volume mode)

Applies an existing rulebook to one input.

python route.py classify --task-type  --input ""

Flags:

  • --premium forces Fable to apply the rulebook (premium execution).
  • --verify runs Haiku twice; if the two passes disagree, Fable decides.

distill (Fable, expensive, run once per task)

Has Fable write (or rewrite) the rulebook from your labeled examples. Uses effort high: this cost is paid once and amortized over every request.

python route.py distill --task-type  --examples ""

analyze (Fable judgment over documents, Haiku does the reading at scale)

Give a mission and one or more document files. Routing is automatic:

  • corpus under ~6000 tokens: Fable reads it directly at effort low

(orchestration measured NOT to pay on small corpora)

  • corpus above the threshold: one Haiku worker per document compresses it

into a brief; Fable reads only the briefs and produces the analysis

python route.py analyze --mission "Prioritize these accounts for this week" \
  --docs thread1.txt thread2.txt transcript3.txt

Flags: --threshold N, --force-workers, --force-direct.

Routing rules (deterministic, coded in route.py)

  • Rulebook exists + normal case: Haiku applies it.
  • No rulebook: classify refuses with a clear error. Distillation is always an

explicit step, never a side effect. A classify call can never overwrite a saved rulebook.

  • Sensitive keyword (legal, procurement, enterprise contract, security) or

--premium: Fable applies the same rulebook.

  • --verify disagreement between two Haiku passes: Fable decides.
  • analyze routes on measured corpus size, never on model self-assessment.
  • Never escalate on a model-declared "confidence" score.

Measured anti-patterns (do NOT do these)

  • Advisor Tool (Haiku executor + Fable advisor): measured ~19x MORE expensive

than Fable alone. It boosts quality, it does not save money.

  • Orchestrating small corpora: briefs barely compress short documents; below

~1.7x compression the workers cost more than they save.

  • Prompt caching short rulebooks: ignored below ~4096 tokens on Haiku 4.5.

Requirements

  • ANTHROPIC_API_KEY in the environment.
  • The anthropic package installed (see requirements.txt).
  • An org that is NOT on zero-data-retention (Fable returns 400 otherwise).

Pricing context

Fable 5: $10 / $50 per million tokens (in / out). Haiku 4.5: $1 / $5. Fable at effort low often exceeds the max performance of previous frontier models (per Anthropic docs), so effort low is the default everywhere except distillation.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.