Get API Docs with chub
andrewyng/context-hub
Fetches current documentation for third-party APIs and SDKs with the chub CLI before the agent writes code against them, instead of relying on remembered API shapes.
Add a new LLM model to apps/sim/providers/models.ts with specs verified against the provider's live API docs (no hallucination)
$ npx skills add simstudioai/sim --skill add-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install simstudioai/sim add-model --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/simstudioai/sim.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/add-model .claude/skills/add-model && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "add-model" agent skill from https://github.com/simstudioai/sim/tree/main/.agents/skills/add-model into .claude/skills/add-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-model", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/simstudioai/sim/tree/main/.agents/skills/add-modelType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add simstudioai/sim --skill add-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install simstudioai/sim add-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/simstudioai/sim.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/add-model .agents/skills/add-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "add-model" agent skill from https://github.com/simstudioai/sim/tree/main/.agents/skills/add-model into .agents/skills/add-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-model", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add simstudioai/sim --skill add-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install simstudioai/sim add-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/simstudioai/sim.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/add-model .cursor/skills/add-model && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "add-model" agent skill from https://github.com/simstudioai/sim/tree/main/.agents/skills/add-model into .cursor/skills/add-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-model", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/simstudioai/sim.git --path .agents/skills/add-model--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add simstudioai/sim --skill add-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install simstudioai/sim add-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/simstudioai/sim.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/add-model .gemini/skills/add-model && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "add-model" agent skill from https://github.com/simstudioai/sim/tree/main/.agents/skills/add-model into .gemini/skills/add-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-model", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install simstudioai/sim add-modelInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add simstudioai/sim --skill add-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/simstudioai/sim.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/add-model .github/skills/add-model && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "add-model" agent skill from https://github.com/simstudioai/sim/tree/main/.agents/skills/add-model into .github/skills/add-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-model", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add simstudioai/sim --skill add-model -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install simstudioai/sim add-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/simstudioai/sim.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/add-model .opencode/skills/add-model && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "add-model" agent skill from https://github.com/simstudioai/sim/tree/main/.agents/skills/add-model into .opencode/skills/add-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-model", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
add-modelAdd a new LLM model to apps/sim/providers/models.ts with specs verified against the provider's live API docs (no hallucination)
Add Model is an agent skill from simstudioai/sim. Add a new LLM model to apps/sim/providers/models.ts with specs verified against the provider's live API docs (no hallucination)
Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Development, covering Technical documentation. It works with OpenAI. The repository describes itself as: Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 546d4e7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
bunrgFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
docs.x.aiopenrouter.aicloudprice.netFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Add Model loads about 3.9k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 1,603 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from simstudioai/sim at commit 546d4e7, republished under its Apache-2.0 licence (© simstudioai). 1,603 words, ~3,924 tokens.
.claude/skills/add-model/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.You add a new model entry to apps/sim/providers/models.ts. Every numeric and capability claim MUST be derived from a live web fetch of the provider's official docs in this session. Marketing emails, training data, and your prior knowledge are not sources of truth — they routinely hallucinate pricing, context windows, and capability lists.
apps/sim/providers/{provider}/ actually consumes them (see Consumption Matrix below). Setting a flag the provider ignores is a silent bug.models.ts and match their pattern exactlybun run lint, print the verification reportIn priority order — fetch all that exist for the provider:
| Provider | Models index | Pricing | Reasoning/parameter caveats |
|---|---|---|---|
| OpenAI | platform.openai.com/docs/models | openai.com/api/pricing | platform.openai.com/docs/guides/reasoning |
| Anthropic | platform.claude.com/docs/en/about-claude/models/overview | claude.com/pricing (API section) | platform.claude.com/docs/en/build-with-claude/extended-thinking |
| Google (Gemini) | ai.google.dev/gemini-api/docs/models | ai.google.dev/pricing | ai.google.dev/gemini-api/docs/thinking |
| xAI | docs.x.ai/developers/models | docs.x.ai/developers/models (per-model detail page) | docs.x.ai/developers/model-capabilities/text/reasoning |
| Mistral | docs.mistral.ai/getting-started/models/models_overview | mistral.ai/pricing | n/a |
| DeepSeek | api-docs.deepseek.com/quick_start/pricing | same | api-docs.deepseek.com/guides/reasoning_model |
| Groq | console.groq.com/docs/models | groq.com/pricing | n/a |
| Cerebras | inference-docs.cerebras.ai/models | cerebras.ai/pricing | n/a |
Secondary verification (use at least one): openrouter.ai/<provider>/<model>, artificialanalysis.ai/models/<model>, cloudprice.net/models/<provider>-<model>.
Use a precise WebFetch prompt: "Extract for {model_id}: exact model id string, context window in tokens, input price per 1M, cached input price per 1M, output price per 1M, max output tokens, supported reasoning effort levels, accepted parameters (temperature, top_p), release date. Do not fill in fields you cannot find."
| Capability | Honored by | Effect if set elsewhere |
|---|---|---|
temperature | All providers (passed through if set) | Safe but inert on always-reasoning models that reject it |
toolUsageControl | All providers (provider-level default) | Override per model only when that model differs |
forcedToolUse | anthropic/core.ts (anthropic, azure-anthropic, kie); defaults to toolUsageControl | Ignored by every other provider; set false only on a model behind that core that cannot force tools |
promptCaching | Caller-placed cache breakpoints | Set only where the vendor charges for opt-in caching (absent for OpenAI/Gemini implicit caching) |
reasoningEffort | openai/core.ts, azure-openai, xai, deepseek, groq, zai, kimi, cerebras, meta, litellm (each index.ts) | Not read by anthropic/gemini (they use thinking) or by mistral, openrouter, fireworks, vertex — re-grep before assuming |
verbosity | openai/core.ts, azure-openai/index.ts only | Dead elsewhere |
thinking | anthropic/core.ts, gemini/core.ts; deepseek, groq, zai, kimi (each index.ts) read the resolved thinkingLevel | Dead elsewhere |
thinking.streamed | Docs generator + getThinkingStreamVisibility (models.ts); anthropic/core.ts uses 'summary' to request display: 'summarized' on agent-events runs | Mandatory on Anthropic-family thinking models (agent-stream-docs:check fails without it); other families fall back to provider defaults |
nativeStructuredOutputs | anthropic/core.ts, bedrock/index.ts (via models.ts supportsNativeStructuredOutputs, which reads the flag) | Dead elsewhere — fireworks/baseten/together/openrouter call their own provider-level supportsNativeStructuredOutputs that ignores the model flag (always on, always off, or OpenRouter API metadata) |
maxOutputTokens | Read by UI + executor for token estimation | Always meaningful — set if provider documents a cap |
computerUse | providers/utils.ts (getComputerUseModels → computerUseModels routing) | Set only on actual computer-use SKUs |
deepResearch | UI flag for routing to deep-research SKUs | Set only on actual deep-research model IDs |
memory: false | Conversation persistence opt-out | Set only when model genuinely cannot maintain history (e.g., deep-research) |
Always re-grep before relying on this table — the codebase moves:
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>/Open apps/sim/providers/models.ts, find PROVIDER_DEFINITIONS[<provider>].models, read 2-3 sibling entries. Match field order exactly:
{
id: '<exact-api-id>',
pricing: {
input: <number>,
cachedInput: <number>, // omit if provider doesn't offer caching
output: <number>,
updatedAt: '<today YYYY-MM-DD>',
},
capabilities: {
// only flags the provider actually consumes — see matrix
},
contextWindow: <tokens>,
releaseDate: '<YYYY-MM-DD>',
recommended: true, // only if new flagship; ask user before swapping
speedOptimized: true, // only on smallest/fastest tier
deprecated: true, // only on retired models
}Model id MUST be prefixed: azure/, azure-anthropic/, vertex/, bedrock/, openrouter/. Pricing usually mirrors the upstream provider but verify on the reseller's own pricing page.
Within a family, newest first (as the existing entries are ordered). Across families, biggest/flagship at top of list.
recommended / speedOptimizedrecommended: true per provider — the current flagship(s).recommended from the previous flagship. Never silently flip it.speedOptimized: true only on the smallest/fastest tier (nano, flash-lite, haiku class).pricing.updatedAt; never copy a sibling's.cachedInput is an explicit documented number — never derived from input (ratios vary by provider).Adding the models.ts entry is most of the job because nearly every consumer is data-driven and picks the model up automatically: the ~40 query helpers in models.ts / providers/utils.ts, the public /models catalog (app/(landing)/models/utils.ts iterates PROVIDER_DEFINITIONS), the agent-block model dropdown, and copilot's isKnownModelId / suggestModelIdsForUnknownModel validation. The touchpoints below are the exceptions — they are not data-driven, so check each one.
getHostedModels() in apps/sim/providers/models.ts returns the model IDs served with Sim's rotating hosted key and billed to the workspace via shouldBillModelUsage() (providers/utils.ts). It builds that list by expanding whole providers (getProviderModels('openai'), 'anthropic', 'google', and others) plus the static Fireworks catalog, so any model added under one of those providers is hosted automatically. Read the function before inserting — the provider set changes. Before you insert:
getHostedModels() expands — that silently enrolls it in hosted billing. After inserting, verify with getHostedModels().includes('<new-model-id>') (a one-line bun -e or the assertion in providers/utils.test.ts). Confirm hosting/billing intent with the user. (Ollama Cloud is a deliberately separate isReseller provider specifically to stay BYOK-only/never-billed.){PREFIX}_COUNT / {PREFIX}_1..N env vars must be set, or hosted runs fail at execution time.bun run lint does not run tests. A few tests assert specific model IDs and can break or need updating when you touch a hosted or flagship model:
apps/sim/providers/utils.test.ts — asserts membership of getHostedModels() / shouldBillModelUsage()apps/sim/providers/index.test.ts and serializer tests — reference concrete model IDsrg "<new-model-id>|getHostedModels|shouldBillModelUsage" apps/sim/providers/*.test.tsIf anything matches, run the affected provider tests and update assertions as needed.
The Consumption Matrix (Step 2) tells you which capability flags are honored by existing provider code. But if the new model needs net-new request handling that the provider doesn't implement yet — a new beta header, a new thinking/reasoning encoding, a Responses-API quirk — you must edit apps/sim/providers/<provider>/core.ts / index.ts. Setting a flag whose behavior isn't implemented is a silent no-op. When you do edit provider code, reuse the shared helpers rather than hand-rolling: streaming responses are assembled via createStreamingExecution (@/providers/streaming-execution) and tool schemas via adaptOpenAIChatToolSchema / adaptAnthropicToolSchema (@/providers/tool-schema-adapter).
streamed visibility + generated docsIf the entry has capabilities.thinking or capabilities.reasoningEffort, it appears in the autogenerated "Streamed thinking and tool calls" table on the Agent block docs page:
anthropic, azure-anthropic) thinking models MUST declare capabilities.thinking.streamed ('full' | 'summary' | 'none'). Verify against Anthropic's current thinking-display and streaming docs: visible thinking returned by the API is summarized, including when Sim opts models whose default display is omitted into display: 'summarized' on agent-events runs, so current Claude thinking models use 'summary'. Use 'full' only if future official API docs explicitly guarantee raw thinking deltas. bun run agent-stream-docs:check (CI) fails if the field is missing.getThinkingStreamVisibility (Gemini/OpenAI → summaries; Bedrock/Meta → none; OpenAI-compatible vendors with documented reasoning fields → full deltas). Set it explicitly only when the model deviates from its family.bun run agent-stream-docs:generate and commit the regenerated apps/docs/content/docs/workflows/blocks/agent.mdx — CI diffs it.streamed value (with its source URL) in the verification report when set.models[] array. Use EMBEDDING_MODEL_PRICING / RERANK_MODEL_PRICING in models.ts instead.ProviderId in providers/types.ts, a registry entry in providers/registry.ts, a provider implementation under providers/<id>/ (assemble streaming responses with createStreamingExecution and wrap tool schemas with the @/providers/tool-schema-adapter helpers), an icon in components/icons.tsx, and the PROVIDER_DEFINITIONS block. That is beyond this skill — tell the user.bun run lint
bun run agent-stream-docs:generate # only when the entry has thinking/reasoningEffortLint must pass before you report done — fix the entry you wrote, never delete it to make lint pass.
End with this exact structure:
### Verification — <model-id>
| Field | Value | Source URL | Status |
|---|---|---|---|
| `id` | `grok-4.3` | https://docs.x.ai/... | ✓ verified |
| `contextWindow` | 1,000,000 | https://docs.x.ai/... + https://openrouter.ai/... | ✓ verified (2 sources agree) |
| `input` | $1.25/M | https://docs.x.ai/... | ✓ verified |
| `cachedInput` | $0.20/M | https://cloudprice.net/... | ⚠️ single source |
| `output` | $2.50/M | https://docs.x.ai/... + https://openrouter.ai/... | ✓ verified |
| `capabilities.temperature` | `{ min: 0, max: 1 }` | matches sibling entries | — pattern-match only |
| `capabilities.reasoningEffort` | NOT SET | provider docs say API rejects it for this model | ✓ correctly omitted |
| `releaseDate` | 2026-04-30 | https://docs.x.ai/... announcement | ✓ verified |
| hosted/billing | hosted (`getHostedModels().includes(id)`) or BYOK-only | `providers/models.ts` | — confirmed intent |
**Disagreements**
- _none_ OR _OpenRouter says X, provider docs say Y — used Y per provider rule_
**Unverified fields**
- _none_ OR _<field>: could not find authoritative source — left as <X> based on sibling pattern; please confirm_If any row is ⚠️ single-source or "unverified," state it plainly to the user and ask whether to proceed. Do not silently merge.
Omitting a field is not the same as verifying it. Any field you cannot confirm from a live fetch must be both omitted from the entry and listed as ❓ UNVERIFIED in the report's "Unverified fields" section, with the URLs you attempted. Then ask the user to confirm before merging.
cachedInput. Mark ❓ UNVERIFIED. Ask the user for the price or the docs URL.© simstudioai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in .agents/skills/add-model of simstudioai/sim.
Open the folder on GitHubat commit 546d4e7
Add Model next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Add Model this skillsimstudioai/sim | 30k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Get API Docs with chubandrewyng/context-hub | 14k | 2 repos | ~775 | Automated safety check: Pass | MIT | |
| Create SkillHyk260/PureChat | 546 | 1 repos | ~823 | Automated safety check: Pass | MIT | |
| Diataxis Docs Writercalf-ai/calfkit-sdk | 149 | 1 repos | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Quota Provider Adapter Noteskunchenguid/quota-axi | 144 | — | ~4.2k | Automated safety check: Pass | MIT | |
| Fact Checkerdaymade/claude-code-skills | 1.4k | 2 repos | ~2.1k | Automated safety check: Pass | MIT |
andrewyng/context-hub
Fetches current documentation for third-party APIs and SDKs with the chub CLI before the agent writes code against them, instead of relying on remembered API shapes.
Hyk260/PureChat
Create a new skill in the current repository. An agent skill from Hyk260/PureChat.
calf-ai/calfkit-sdk
Write or improve software documentation using the Diátaxis framework — four documentation types (tutorials, how-to guides, reference, explanation), each serving a different user need.
kunchenguid/quota-axi
Reference of credential sources, quota windows, endpoint shapes, error recovery and quirks for each provider supported by the quota-axi tool.
daymade/claude-code-skills
Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation.
qualcomm/qai-appbuilder
GenieAPIService technical documentation retrieval. An agent skill from qualcomm/qai-appbuilder.
simstudioai/sim
Install, upgrade, and operate the Sim Helm chart on Kubernetes.
simstudioai/sim
Add a new table column type to Sim — registry entry, icon, storage shape, coercion, and the behavioral hooks the grid and API read.
simstudioai/sim
Add a code-defined table enrichment (registry entry) under apps/sim/enrichments/ backed by an ordered provider cascade, ensuring every provider tool it calls has hosted-key support.
simstudioai/sim
Add hosted API key support to a tool so Sim provides the key (metered and billed to the workspace) when a user has not brought their own.
simstudioai/sim
Add or upgrade a curated, immutable managed CLI for Sim Function sandboxes, including client-safe catalog metadata, a pinned server-only installation recipe, checksum and executable verification…
simstudioai/sim
Add or update a Sim dynamic selector using the shared manifest, server attachment, and selectors.execute path.
Works with
Categories
Add a new LLM model to apps/sim/providers/models.ts with specs verified against the provider's live API docs (no hallucination). Add Model is an agent skill from simstudioai/sim.
Add Model fits situations like: tasks that involve Technical documentation.
Run `npx skills add simstudioai/sim --skill add-model -a claude-code`. Or copy the skill folder (.agents/skills/add-model in simstudioai/sim) into .claude/skills/add-model in your project. Claude Code loads it when a task matches its description.
Run `npx skills add simstudioai/sim --skill add-model -a codex`. Or copy the skill folder (.agents/skills/add-model in simstudioai/sim) into .agents/skills/add-model in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add simstudioai/sim --skill add-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/add-model, .gemini/skills/add-model, .github/skills/add-model and .opencode/skills/add-model in your project.
Going by SKILL.md and its folder, Add Model needs the command-line tools its instructions call (bun and rg).
SKILL.md names 3 domains. In commands or code: docs.x.ai, openrouter.ai and cloudprice.net; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Add Model is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Add Model: Get API Docs with chub (andrewyng/context-hub, 14k stars), Create Skill (Hyk260/PureChat, 546 stars), Diataxis Docs Writer (calf-ai/calfkit-sdk, 149 stars) and Quota Provider Adapter Notes (kunchenguid/quota-axi, 144 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
simstudioai (a GitHub organization) maintains it in simstudioai/sim, which has 29,792 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 8, 2026.
Source: simstudioai/sim on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.