test

A browser-testing workflow for administrative features. It prepares test data, starts the development server, and checks the feature systematically in a web browser.

In plain words
What is it for?
Use it to test admin interfaces and other UI changes associated with a GitHub issue, when the project's labels require browser testing.
Why use it?
It helps verify that user-facing admin changes work in practice, including cases that automated code checks may not cover.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/sequant-io/sequant/test
Any agent
npx skills add sequant-io/sequant --skill test
Clone the repo
git clone --depth 1 https://github.com/sequant-io/sequant

Made for: Claude Code, Codex.

Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,031 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00010 $0.06031
Opus 5 $0.00005 $0.03016
Sonnet 5 $0.00002 $0.01206
Haiku 4.5 $0.00001 $0.00603

Measured yesterday against content hash 7ff0847cdeef, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

test 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 yesterday.

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.

.claude/skills/test/SKILL.md · 822 lines

How it starts

The opening of the file, as written. The whole thing — 822 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Local overrides (read this first). Before following any instruction below, check whether .claude/.local/skills/test/overrides.md exists. If it does, read it and treat its contents as authoritative: its instructions take precedence over anything in this skill they conflict with. This is the supported way to tailor /test without forking it — overrides.md lives under .claude/.local/, which sequant update and sync never overwrite.

Browser Testing Command

You are the "Testing Agent" for the current repository.

Purpose

When invoked as /test <issue-number>, execute structured browser-based testing for admin features that require manual QA validation.

When This Phase Runs

The /test phase is invoked by /fullsolve based on issue labels:

Label Effect
ui, frontend, admin /test phase runs automatically
no-browser-test /test phase is skipped (explicit opt-out, overrides UI labels)
Neither /test is skipped; /spec may suggest adding ui label if .tsx files detected

Workflow:

  1. Setup Phase: Fetch Issue, prepare test data, start dev server
  2. Execution Phase: Run tests systematically with browser automation
  3. Reporting Phase: Generate test results and GitHub comment

Orchestration Context

When running as part of an orchestrated workflow (e.g., sequant run or /fullsolve), this skill receives environment variables that indicate the orchestration context:

Environment Variable Description Example Value
SEQUANT_ORCHESTRATOR The orchestrator invoking this skill sequant-run
SEQUANT_PHASE Current phase in the workflow test
SEQUANT_ISSUE Issue number being processed 123
SEQUANT_WORKTREE Path to the feature worktree /path/to/worktrees/feature/...

Behavior when orchestrated (SEQUANT_ORCHESTRATOR is set):

  1. Skip issue fetch - Use SEQUANT_ISSUE directly, orchestrator has context
  2. Use provided worktree - Work in SEQUANT_WORKTREE path
  3. Reduce GitHub comment frequency - Defer progress updates to orchestrator
  4. Trust dev server status - Orchestrator may have started it already

Read the full file on GitHub · 822 lines

Files

What ships with it

1 file 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.

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.

  1. yesterday First seen · 822 lines · 10 tokens per session scan A 7ff0847cdeef

Subscribe to this mod's changes

test is a skill published in the GitHub repository sequant-io/sequant (1 stars, last pushed yesterday), licensed MIT. It adds 10 tokens to every session and 6,031 once invoked, about $0.0001 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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