qa-targets

qa-targets is a skill for Claude Code from HigorAlves/orc. It costs 66 tokens per session (1,434 once invoked), scanned A, original, MIT.

A guide for choosing the website environment where browser quality checks should run. It resolves named targets such as a local Docker environment, staging, or a preview deployment, along with their URLs, login details, and safety rules.

In plain words
What is it for?
Use it before setting up browser quality checks, running user flows, or collecting test evidence. It helps select a target, check its address and health path, and apply credential and mutation guards.
Why use it?
It prevents browser tests from running against the wrong environment or changing a shared environment unexpectedly. It also distinguishes environments that can be started locally from remote environments that are only checked.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the orc plugin — 84 skills, 31 commands, 14 agents, 6 hooks shipped together

Good fit Use it before setting up browser quality checks, running user flows, or collecting test evidence. It helps select a target, check its address and health path, and apply credential and mutation guards.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/higoralves/orc/qa-targets
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.

Any agent
npx skills add HigorAlves/orc --skill qa-targets
Clone the repo
git clone --depth 1 https://github.com/HigorAlves/orc

Made for: Claude Code.

Or install orc, the plugin that ships this one along with the rest of its 84 skills, 31 commands, 14 agents, 6 hooks.

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.

agentmods badge for qa-targets

README.md
[![agentmods](https://agentmods.dev/badge/skills/higoralves/orc/qa-targets/github.svg)](https://agentmods.dev/skills/higoralves/orc/qa-targets)
Your own site
<a href="https://agentmods.dev/skills/higoralves/orc/qa-targets"><img src="https://agentmods.dev/badge/skills/higoralves/orc/qa-targets/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.

agentmods 80×15 button for qa-targets

Your own site · 80×15
<a href="https://agentmods.dev/skills/higoralves/orc/qa-targets"><img src="https://agentmods.dev/badge/skills/higoralves/orc/qa-targets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,434 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.01434
Opus 5.5 $0.00026 $0.00574
Sonnet 5.5 $0.00013 $0.00287
Haiku 4.5 $0.00007 $0.00143

Measured 12d ago against content hash 15e9a9a66114, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

qa-targets scanned grade A with 1 finding 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 12d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- `kind: remote` → `orc-targets probe <name>`; failure is an **environment escalation** (`🛑 Escalation — target unreachable`: name, URL, curl exit) — stop, never fall back to local silently.
orc/skills/qa-targets/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QA targets

Browser QA runs against a target: local (the Docker env orc-env-provisioner boots) or a remote URL such as staging or a preview deploy. Targets live in <repo>/.orc/targets.json (gitignored, repo-level — not per branch), managed by orc-targets (plugin bin/, on PATH while orc is enabled).

Announce at start: "I'm using the qa-targets skill to resolve where browser QA runs."

Registry shape

{ "schema": 1, "targets": {
  "local":   { "kind": "local",  "baseUrl": null, "healthPath": "/", "guard": false, "users": {}, "login": null },
  "staging": { "kind": "remote", "baseUrl": "https://staging.example.com", "healthPath": "/healthz", "guard": true,
               "users": { "admin": { "username": "env:STAGING_ADMIN_USER", "password": "op://Eng/staging-admin/password" } },
               "login": { "path": "/login", "usernameField": "Email", "passwordField": "Password", "submit": "Sign in", "successPath": "/dashboard" } } } }
  • kind — local is provisioned by orc:browser-qa Step 0 (today's path, unchanged); remote is probed, never provisioned.
  • guard: true — a shared environment. The planner is told to tag mutating scenarios @mutating; on a guarded target those run as skipped with note guarded target — never silently dropped, never executed.
  • users.<name>.{username,password} — references, not values: a literal, op://vault/item/field (1Password CLI, op read), or env:VAR. orc-targets resolve <name> substitutes them at run time and prints JSON for ORC_TARGET_JSON; the resolved JSON is never written to disk. Unresolvable ⇒ exit 3 ⇒ an escalation, not a skip.
  • login — the recipe tests/auth.setup.ts follows once per run in the video-off setup project; the session is saved as storageState and reused by every scenario. Field hints match by label or placeholder text.

Resolution order (every caller, same order)

  1. --target <name> flag → use it silently (orc-state decision set target <name> --provenance flag).
  2. --web <url> flag (kept for compatibility) → an ad-hoc remote target: orc-targets resolve local --base-url <url>; recorded as target=adhoc:<url>.
  3. A settled target decision in the session → reuse silently; re-runs keep it.
  4. Otherwise the Target gate below. guided/full autopilot: local (policy decision, printed one-liner) — a remote target is a judgment call and is never auto-picked.

Read the full file on GitHub · 60 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.

  1. 12d ago First seen · 60 lines · 66 tokens per session scan A 15e9a9a66114

Subscribe to this mod's changes

qa-targets is a skill published in the GitHub repository HigorAlves/orc (6 stars, last pushed 10d ago), licensed MIT. It adds 66 tokens to every session and 1,434 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-08.