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 skills add joelbrilliant/agentic-delivery-skills --skill model-capability-proofgit clone --depth 1 https://github.com/joelbrilliant/agentic-delivery-skillsWrote 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/joelbrilliant/agentic-delivery-skills/model-capability-proof)<a href="https://agentmods.dev/skills/joelbrilliant/agentic-delivery-skills/model-capability-proof"><img src="https://agentmods.dev/badge/skills/joelbrilliant/agentic-delivery-skills/model-capability-proof/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/joelbrilliant/agentic-delivery-skills/model-capability-proof"><img src="https://agentmods.dev/badge/skills/joelbrilliant/agentic-delivery-skills/model-capability-proof.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00049 | $0.00623 |
| Opus 5 | $0.00024 | $0.00311 |
| Sonnet 5 | $0.00010 | $0.00125 |
| Haiku 4.5 | $0.00005 | $0.00062 |
Grade A, and why
model-capability-proof 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 9d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Model Capability Proof
Overview
Use this skill before trusting a model listing, launch post, provider doc, benchmark, or config file.
A model being listed is not the same as your agent being able to use it with your account, tools, context window, and runtime path.
When to Use
- Changing an agent's default model or provider.
- Verifying a new model announcement.
- Checking context length or reasoning modes.
- Debugging fallback to the wrong provider.
- Testing whether tool calls, streaming, images, audio, or structured output work.
- Comparing builder and reviewer model stacks.
Capability Dimensions
Check each separately:
- Model availability: provider accepts the model ID.
- Account entitlement: your account or subscription can run it.
- Context length: runtime uses the claimed window, not registry folklore.
- Reasoning controls: effort flags are accepted and included in request body.
- Tool use: real client-side or server-side tools work.
- Streaming: deltas arrive and UI/backend preserves them.
- Structured output: schemas or JSON mode work if needed.
- Media: image, audio, or video inputs/outputs work if claimed.
- Fallback behaviour: no silent fallback to an old provider or smaller model.
- Gateway/API path: the production agent path works, not just a direct SDK call.
Proof Ladder
Run proofs in this order:
- Read config and provider registry.
- Dry-run request construction if the harness supports it.
- Direct no-tools smoke.
- Normal agent chat smoke.
- Tool-capable smoke.
- Gateway/API smoke.
- Real task smoke in the intended lane.
Stop at the first failure and label exactly which capability failed.
Report Format
Model:
Provider:
Account/auth path:
Context configured:
Context runtime:
Reasoning configured:
Reasoning request proof:
No-tools smoke:
Tool smoke:
Streaming proof:
Fallback providers:
Gateway/API proof:
Verdict: usable / partially usable / not usable for this lane
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.
- 9d ago First seen · 83 lines · 49 tokens per session scan A 9d070c88ed77
model-capability-proof is a skill published in the GitHub repository joelbrilliant/agentic-delivery-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 623 once invoked, about $0.0002 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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