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 Aryan-Jhaveri/mcp-statcan --skill api-simulationgit clone --depth 1 https://github.com/Aryan-Jhaveri/mcp-statcanWrote 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/aryan-jhaveri/mcp-statcan/api-simulation)<a href="https://agentmods.dev/skills/aryan-jhaveri/mcp-statcan/api-simulation"><img src="https://agentmods.dev/badge/skills/aryan-jhaveri/mcp-statcan/api-simulation/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/aryan-jhaveri/mcp-statcan/api-simulation"><img src="https://agentmods.dev/badge/skills/aryan-jhaveri/mcp-statcan/api-simulation.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 | $0.00210 | $0.02520 |
| Opus 5.5 | $0.00084 | $0.01008 |
| Sonnet 5.5 | $0.00042 | $0.00504 |
| Haiku 4.5 | $0.00021 | $0.00252 |
Grade A, and why
api-simulation 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 today.
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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
API Simulation
A simulation serves several mocks as one environment, each reached by its
routeKey: as a path prefix by default, or as an x-mock-slug header when the
caller's paths can't change.
Run your code against it rather than stubbing its HTTP client in tests or calling the real services. A stub skips the client, config, timeouts and error handling that will run in production; the real services need credentials and leave side effects. A simulation runs that code over real HTTP, the same way in CI, and its log shows what each dependency was asked.
Do only what the task needs. If a .sim.yaml in postman/simulations/
already covers it, run that one, and read the <name>.context.md beside it
first: it holds the commands, the preconditions and the failures earlier runs
hit, so reading it costs less than rebuilding any of that from the .sim.yaml
and the handlers. One request through the changed path proves a change; build
failure variants only when asked how the code fails or when it must survive a
failure.
postman simulation needs CLI 1.70.0 or later (postman --version; an older
CLI answers postman simulation -h with its general help).
Building it
- Members are the code's HTTP dependencies. Databases, queues and caches
aren't; run them locally. api-discovery can find calls made through
shared code; ask about the repo by its
git remotename, because a close name matches another repo. - Each member needs a mock: see
api-mocking, which looks for the owning team's published mock before building one. For a question, one built from the contract will do; one that invents responses can send the caller down a path the real service never would. In a mock you build, answer501for calls this path doesn't make: a404reads to the caller like a real "not found". - Bring in each mock you don't own as a dependency first, then build the
simulation over them.
postman dependency add mock <name-or-id>declares it in.postman/resources.yamland materialises it underpostman/.dependencies/, and the member'spath:points there;-w <workspace>resolves a name from the workspace that owns it. - Prefix each mock's
pm.statekeys with its name. As of CLI 1.73.0, members of a local run read each other's keys, so two mocks storingordersoverwrite each other.
What ships with it
2 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.
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.
- today First seen · 189 lines · 210 tokens per session scan A 271b69bc6183
api-simulation is a skill published in the GitHub repository Aryan-Jhaveri/mcp-statcan (7 stars, last pushed yesterday), licensed MIT. It adds 210 tokens to every session and 2,520 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-10-27.
Other skills, from other repositories
mem0-test-integration
Verify a Mem0 integration produced by /mem0-integrate. Runs in the same workspace on the same branch (loose coupling) — installs dependencies, runs the repo's native test suite, then exercises a real end-to-end smoke flow against the user's API key. Produces a scorecard. TRIGGER when: user has just run /mem0-integrate…
testing
Testing and code quality context for Jest, React Testing Library, ESLint, and test patterns. Use when writing tests or fixing linting issues.
testing
Verify a Skyvern deployment is working correctly by smoke-testing the backend API, frontend rendering, browser session provisioning, and workflow execution. Use when the user says 'is Skyvern working', 'test my deployment', 'verify the installation', 'smoke test', or needs to check that a self-hosted or local Skyvern…
phone
Use when the user wants phone-number intelligence (lookup, carrier, line type, SIM-swap / call-forwarding fraud signals), US/CA number provisioning (rent a phone number), or outbound AI voice calls (Bland.ai under the hood — schedule, confirm, follow-up). Pay per call in USDC.
capture-api-response-test-fixture
For provider response parsing tests, we aim at storing test fixtures with the true responses from the providers (unless they are too large in which case some cutting that does not change semantics is advised).
emulate-seed
Generate emulate seed configs for stateful API emulation. Wraps Vercel's emulate tool for GitHub, Vercel, Google OAuth, Slack, Apple Auth, Microsoft Entra, AWS, Okta, Clerk, Resend, Stripe, and MongoDB Atlas APIs — full state machines, not mocks. Use when setting up test environments, CI pipelines, integration tests…