agentleFS
Ame-AlAme-Al/ame/.agents/skills/validate-model/SKILL.md

validate-model

Skill1 starsChanged 2 months agoApache-2.0View on GitHub

Validate a model entry (or every model in a provider) in apps/sim/providers/models.ts against the provider's live API docs (no hallucination — reports what cannot be verified)

We split this skill into the rules it gives an agent

11 rules. About 0 are common, 7 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈7

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Cite every fact: Every value in the report must show the source URL it was checked against.

    line 14
  2. Very specific:

    When invoked as /validate-model <provider> [model-id]:

    line 21
  3. Very specific:

    Read the target entries from models.ts

    line 23
  4. Distinctive:

    Run the checklist below per model

    line 26
  5. Very specific:

    If model-id is omitted, validate every model in the provider.

    line 30
  6. Very specific:

    Use the canonical provider URL table in the add-model skill (.agents/skills/add-model/SKILL.md), Step 1, as the single source of truth — …

    line 38
  7. Distinctive:

    If a fetch fails (404, timeout, paywall), record the URL attempted and mark dependent fields UNVERIFIED.

    line 42
  8. Distinctive:

    After reporting, ask: *"Want me to fix the critical and warning items?

    line 136
  9. Distinctive:

    If, after fetching the documented sources, a field cannot be confirmed:

    line 165
  10. Distinctive:

    Do NOT mark the validation as passed

    line 169
  11. Distinctive:

    Ask the user for a docs URL or guidance before changing anything

    line 170

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Validate Model Skill

You audit one or more model entries in apps/sim/providers/models.ts against the provider's official live API docs. Hallucinated pricing and capabilities are the #1 failure mode in this file. Every numeric and capability claim must be re-derived from a live web fetch in this session — not from memory, not from training data, not from the user's marketing email.

Hard rules (do not skip)

  1. Live-fetch or report unverified. Each field must be backed by a live WebFetch in this session. If you cannot reach an authoritative URL for a field, mark it UNVERIFIED in the report — do not silently confirm it from memory.
  2. Cite every fact. Every value in the report must show the source URL it was checked against. No URL → mark UNVERIFIED.
  3. Two-source rule for pricing. Cross-check input/output/cached against at least one secondary source (OpenRouter, Artificial Analysis, CloudPrice). If sources disagree, the provider's own docs win — flag the disagreement.
  4. Inspect provider implementation before flagging capability mismatches. A capability flag in models.ts is dead unless the provider's code under apps/sim/providers/{provider}/ consumes it (see Consumption Matrix below). Setting a flag the provider ignores is a warning, not a critical.
  5. Never auto-fix without printing the diff. Show the user the proposed diff before applying. Get confirmation.

Your Task

When invoked as /validate-model <provider> [model-id]:

  1. Read the target entries from models.ts
  2. Live-fetch the provider's official models, pricing, and capability/reasoning pages + at least one secondary source for pricing
  3. Inspect the provider implementation to know which flags are actually consumed
  4. Run the checklist below per model
  5. Report findings (critical / warning / suggestion / unverified) with every cell linked to its source URL
  6. Offer to fix; on confirm, edit models.ts in a single pass and re-lint

If model-id is omitted, validate every model in the provider.

Step 1: Read entries from models.ts

Capture per model: id, full pricing, full capabilities, contextWindow, releaseDate, recommended, speedOptimized, deprecated.

Step 2: Live-fetch authoritative sources

Use the canonical provider URL table in the add-model skill (.agents/skills/add-model/SKILL.md), Step 1, as the single source of truth — fetch the models index, pricing, and reasoning/parameter caveats pages listed there for the target provider.

Secondary cross-check (use at least one): OpenRouter, Artificial Analysis, CloudPrice.

If a fetch fails (404, timeout, paywall), record the URL attempted and mark dependent fields UNVERIFIED.

Step 3: Build the consumption map for this provider

Re-grep before trusting the snapshot below:

rg "reasoningEffort|reasoning_effort" apps/sim/providers/<provider>/
rg "verbosity" apps/sim/providers/<provider>/
rg "request\.thinking|thinking:" apps/sim/providers/<provider>/
rg "supportsNativeStructuredOutputs|nativeStructuredOutputs" apps/sim/providers/<provider>/

Snapshot (verify before relying):

CapabilityConsumed by
reasoningEffortopenai/core.ts, azure-openai, anthropic/core.ts (mapped via thinking), gemini/core.ts
verbosityopenai/core.ts, azure-openai/index.ts
thinkinganthropic/core.ts, gemini/core.ts
nativeStructuredOutputsanthropic/core.ts, fireworks/index.ts, openrouter/index.ts
computerUseanthropic/core.ts
temperatureAll providers (passthrough)

A flag set in models.ts but not in the consumption list for this provider = warning: dead flag.

Step 4: Run the checklist

For each model, evaluate every row. Statuses: ✓ matches docs, ✗ disagrees, ⚠️ single-source, ❓ UNVERIFIED (could not fetch).

Identity

  • id exactly matches provider's API model identifier (case, dots, dashes, prefix for resellers)
  • releaseDate matches launch announcement
  • deprecated: true set if provider has announced retirement (or removed from active list)

Pricing (per 1M tokens, USD)

  • pricing.input matches provider pricing page
  • pricing.output matches provider pricing page
  • pricing.cachedInput matches provider's documented cached/prompt-cache rate (or is correctly omitted if no caching offered)
  • pricing.updatedAt is recent — warn if older than 60 days

Context & output limits

  • contextWindow matches docs (in tokens)
  • capabilities.maxOutputTokens matches documented output cap (or is correctly omitted if "no output limit")

Capabilities (each must be DOCUMENTED-AS-SUPPORTED and CONSUMED-BY-PROVIDER-CODE)

  • temperature — provider accepts it for this model (reasoning-always-on models often reject)
  • reasoningEffort.values — list matches docs; omitted for always-reasoning models that reject the parameter (e.g., grok-4.3, where xAI docs explicitly state reasoning_effort is not supported). Verify per model — some always-reasoning models (e.g., OpenAI's o-series) DO accept reasoning_effort and should keep the flag.
  • verbosity.values — only on OpenAI gpt-5.x family; values match docs
  • thinking.levels + thinking.default — only on Anthropic/Gemini; values match docs
  • thinking.streamed — REQUIRED on Anthropic-family thinking models ('full' for generations returning full thinking deltas, 'summary' for omitted-display generations like Opus 4.7+/Sonnet 5/Fable 5 where Sim requests display: 'summarized'); verify against the provider's thinking-display docs. After any change, run bun run agent-stream-docs:generate so the Agent block docs table stays in sync (CI diffs it)
  • nativeStructuredOutputs — only on anthropic/fireworks/openrouter; provider must document Structured Outputs / JSON-mode for this model
  • toolUsageControl — provider supports tool_choice semantics
  • computerUse — provider implements computer-use loop AND model is a computer-use SKU
  • deepResearch — only on actual deep-research SKUs
  • memory: false — only when the model genuinely cannot maintain conversation history

Flags

  • recommended: true — at most one or two per provider; should be current flagship
  • speedOptimized: true — only on smallest/fastest tier (nano / flash-lite / haiku class)

Hosting / billing

  • If the model is under openai/anthropic/google, it is automatically in getHostedModels() → served with Sim's rotating key and billed via shouldBillModelUsage(). Confirm that is the intent (a BYOK-only model parked under one of these providers is a billing bug — warning).
  • If the model is hosted, the deployment is expected to have its {PREFIX}_COUNT / {PREFIX}_1..N env vars set (ops concern; note if it looks unset for a model claiming hosted support).

Step 5: Report (mandatory format)

For each model, emit a table with one row per checklist item. Every row that claims ✓ must have a URL.

### Validation — <model-id>

| Field | Repo | Live docs | Source URL | Status |
|---|---|---|---|---|
| `input` | $1.25/M | $1.25/M | https://docs.x.ai/... | ✓ |
| `cachedInput` | $0.50/M | $0.20/M | https://cloudprice.net/... | ✗ stale (price cut not picked up) |
| `reasoningEffort` | low/medium/high | rejected by API | https://docs.x.ai/.../reasoning | ✗ inert — selecting silently no-ops |
| `contextWindow` | 1,000,000 | 1,000,000 | https://docs.x.ai/... + https://openrouter.ai/... | ✓ (2 sources) |
| `releaseDate` | 2026-04-30 | not found in scraped pages | _attempted: docs.x.ai, x.ai/news_ | ❓ UNVERIFIED |

**Findings**
- 🔴 critical — `cachedInput` is wrong: docs say $0.20/M, repo has $0.50/M
- 🟡 warning — `reasoningEffort` is set but provider rejects it for this model (xAI docs explicitly: "reasoning_effort is not supported by grok-4.3")
- 🔵 suggestion — `pricing.updatedAt` is 90 days old; refresh
- ❓ unverified — `releaseDate` could not be confirmed from any fetched page; ask user

**Disagreements between sources**
- _none_ OR _OpenRouter says $X, provider docs say $Y — went with provider docs_

End each multi-model run with a summary count: N models checked · X critical · Y warnings · Z suggestions · W unverified.

Step 6: Offer to fix

After reporting, ask: "Want me to fix the critical and warning items? I'll print the diff first." On yes:

  1. Print the proposed diff (do not apply yet)
  2. Get user confirmation
  3. Edit models.ts in a single pass
  4. Run bun run lint
  5. Re-run only the failed rows of the checklist on the new state

Severity definitions

  • 🔴 critical — wrong number or wrong identifier that misleads users about cost or breaks API calls. Examples: incorrect pricing, wrong model id, wrong context window, capability the API rejects.
  • 🟡 warning — dead code or internal inconsistency. Examples: capability flag the provider ignores, multiple recommended: true per provider, pricing.updatedAt >60 days old, missing deprecated: true on retired model.
  • 🔵 suggestion — style/consistency. Examples: field order, missing speedOptimized on a clearly smallest-tier model.
  • ❓ unverified — could not fetch an authoritative source for this field. Surface it; never silently confirm.

Common bugs this skill catches

  • Pricing drift after a provider price cut (very common — providers cut quarterly)
  • reasoningEffort set on always-reasoning models that reject the parameter (grok-4.3, o3-pro pattern)
  • nativeStructuredOutputs set on providers that don't consume the flag (dead)
  • thinking set on non-Anthropic/non-Gemini providers
  • verbosity set on non-gpt-5.x models
  • Wrong context window (e.g., 128k claimed vs 200k actual)
  • Stale pricing.updatedAt
  • Multiple recommended: true per provider after a flagship swap
  • Missing deprecated: true on retired models (e.g., the xAI batch retiring May 15, 2026)

What "I cannot verify this" looks like

If, after fetching the documented sources, a field cannot be confirmed:

  • Mark the row ❓ UNVERIFIED with the URL(s) attempted
  • Surface it in the Findings section with severity ❓
  • Do NOT mark the validation as passed
  • Ask the user for a docs URL or guidance before changing anything

The skill is allowed to say "I could not verify the cached input price for grok-4.3 from the official xAI docs in this session — I attempted [URLs] without finding the value. Third-party sources [URL1, URL2] both report $0.20/M. Confirm before I update." That is correct behavior. Hallucinating a number is not.

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