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-testinggit 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-testing)<a href="https://agentmods.dev/skills/aryan-jhaveri/mcp-statcan/api-testing"><img src="https://agentmods.dev/badge/skills/aryan-jhaveri/mcp-statcan/api-testing/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-testing"><img src="https://agentmods.dev/badge/skills/aryan-jhaveri/mcp-statcan/api-testing.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 | $0.00052 | $0.00752 |
| Opus 5.5 | $0.00021 | $0.00301 |
| Sonnet 5.5 | $0.00010 | $0.00150 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
api-testing 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
API Testing
Saved requests preserve the auth, payloads, variables, and assertions that make an API check reproducible. The useful result is evidence about an intended guarantee; a successful HTTP exchange alone does not establish correctness.
-
Choose the smallest execution mode that answers the question:
Evidence needed Use One endpoint with no saved request postman request <url>Behavior of an existing saved request postman collection run <collection-path> -i <request-id-name-or-path>Reusable regression checks postman collection run <path-or-id>Whether a real app's calls match the contract postman application test -
Reuse a matching request under
postman/collections/before reconstructing its HTTP fields. Running it through the collection retains inherited auth, variables, and scripts.postman requesttakes a URL, not a request YAML path; for an unsaved request with an existing payload file,--body @pathpreserves that file as the source. See collection-schema-v3 when editing the saved request. -
Derive assertions from the contract and the behavior at risk. A test that merely repeats the current implementation can bless its bug. Preserve existing guarantees and add checks for the changed behavior; put reusable
pm.testassertions in the collection so later runs and teammates inherit them. Inline--script-post-requestassertions suit a one-off check. -
Choose a real or mocked target according to the claim.
--use-mocklets a collection run exercise request and assertion logic without a live backend;--mockalone only starts one.--use-mockreplaces the variable's whole value, base path included (see api-mocking). Passing against that mock does not verify the service the mock stands in for. -
Reuse environment resolution with
-eand variables. Use a CSV/JSON file through-dfor simple iteration; use datasets when the inputs need queries, joins, or reusable views. Export reports such as-r junit,htmlwhen ci-integration needs evidence beyond terminal output. -
Use
application testwhen the application's actual traffic is the subject. It runs an existing command, such as--command "npx playwright test", captures its traffic, and matches it against collections.--capture-onlyinstead exports a v3 collection organized by host; that captures behavior without validating it. Results are recorded in the connected workspace by default;--report-events=falsekeeps the run local when required.
Use command-specific -h for supported options and bootstrap for unresolved
CLI setup or authentication when using workspace resources. A bare URL or
local collection does not require a workspace binding.
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 · 58 lines · 52 tokens per session scan A 5875263235d3
api-testing is a skill published in the GitHub repository Aryan-Jhaveri/mcp-statcan (7 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 752 once invoked, about $0.0002 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.
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