What is api-smoke.skeleton?

A quick check of API endpoints, which are URLs through which software sends and receives data. It can test production, staging, or a custom URL after deployment or independently.

Use it to run endpoint checks with curl or Node.js tests, choose the target environment, support CI checks, and report failures.

It quickly shows whether the selected endpoints respond as expected and identifies failed endpoints with details. Protected endpoints can use a supplied test token.

api-smoke.skeleton — Command for Claude Code by varienos

Install

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.

Clone the repo

git clone --depth 1 https://github.com/varienos/agentic-workflow

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/varienos/agentic-workflow/api-smoke.skeleton/github.svg)](https://agentmods.dev/commands/varienos/agentic-workflow/api-smoke.skeleton)

Your own site

<a href="https://agentmods.dev/commands/varienos/agentic-workflow/api-smoke.skeleton"><img src="https://agentmods.dev/badge/commands/varienos/agentic-workflow/api-smoke.skeleton/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/varienos/agentic-workflow/api-smoke.skeleton"><img src="https://agentmods.dev/badge/commands/varienos/agentic-workflow/api-smoke.skeleton.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 890 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00000	$0.00890
Opus 5.5	$0.00000	$0.00356
Sonnet 5.5	$0.00000	$0.00178
Haiku 4.5	$0.00000	$0.00089

Measured 24d ago against content hash f065cc7dfa7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

api-smoke.skeleton 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 24d 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.

Agentbase/templates/core/commands/api-smoke.skeleton.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

API Smoke Test

Quickly verifies API endpoints. Can run after a post-deploy or independently. Usage: /api-smoke, /api-smoke staging, /api-smoke https://custom-url.com

Rule: WORK AUTONOMOUSLY

Do NOT ask the user questions — run the smoke test and report results.
Show failed endpoints IN DETAIL.
RUN every step — do not skip a step.

STEP 1 — Environment Selection

Resolve the argument:

Argument	Environment
Empty	Production (manifest environments[0])
`staging`	Staging environment
`https://...`	Custom URL

STEP 2 — Run Smoke Test

2.1 Smoke Test Endpoint List

2.2 Run Curl Script

Run the following script with Bash:

<!-- GENERATE: API_SMOKE_SCRIPT
Description: Curl-based smoke test script from the manifest.
Required manifest fields: environments, api_endpoints, project.api_prefix
-->

NOTE: For endpoints that require auth, set the SMOKE_TEST_TOKEN env variable or pass it as a script parameter.

2.3 Node.js Test File (CI Integration)

node:test-based smoke test that can run in CI:

<!-- GENERATE: API_SMOKE_NODE_TESTS
Description: node:test-based smoke test file from the manifest.
Required manifest fields: environments, api_endpoints, project.api_prefix
-->

Run: SMOKE_TEST_URL=https://api.example.com SMOKE_TEST_TOKEN=xxx node --test smoke-test.js

Read the full file on GitHub · 126 lines

Changes

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.

24d ago Changed · -1 lines f065cc7dfa7c
1mo ago First seen · 127 lines · 0 tokens per session scan A fa17fb442e2a

Subscribe to this mod's changes

api-smoke.skeleton is a command published in the GitHub repository varienos/agentic-workflow (59 stars, last pushed 25d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 890 tokens. 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 2026-08-30.

Backend and APIs Claude Code Code review Testing agentic-workflow ai-development automation backlog

api-smoke.skeleton