agent-assistant-test-team

agent-assistant-test-team is a skill for Codex from hainamchung/agent-assistant. It costs 26 tokens per session (174 once invoked), scanned A, a copy of agent-assistant-ask-hard, MIT.

A team-based testing workflow for the `/test:team` command, using adversarial collaboration between agents.

In plain words
What is it for?
Use it for collaborative, challenge-oriented testing of a project or selected scope.
Why use it?
It adds multiple perspectives when checking software for defects or weaknesses.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it for collaborative, challenge-oriented testing of a project or selected scope.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hainamchung/agent-assistant/agent-assistant-test-team
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 hainamchung/agent-assistant --skill agent-assistant-test-team
Clone the repo
git clone --depth 1 https://github.com/hainamchung/agent-assistant

Made for: Codex.

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 agent-assistant-test-team

README.md
[![agentmods](https://agentmods.dev/badge/skills/hainamchung/agent-assistant/agent-assistant-test-team/github.svg)](https://agentmods.dev/skills/hainamchung/agent-assistant/agent-assistant-test-team)
Your own site
<a href="https://agentmods.dev/skills/hainamchung/agent-assistant/agent-assistant-test-team"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/agent-assistant-test-team/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 agent-assistant-test-team

Your own site · 80×15
<a href="https://agentmods.dev/skills/hainamchung/agent-assistant/agent-assistant-test-team"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/agent-assistant-test-team.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 174 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 75% copy Near-identical to another mod 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 $0.00026 $0.00174
Opus 5 $0.00013 $0.00087
Sonnet 5 $0.00005 $0.00035
Haiku 4.5 $0.00003 $0.00017

Measured 7d ago against content hash f87b7e7bc10c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

agent-assistant-test-team 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 7d 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.

Origin

This is a copy

75% identical to agent-assistant-ask-hard — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

code-assistants/antigravity-assistant/skills/agent-assistant-test-team/SKILL.md · 19 lines

What it actually says

/test:team

Activates Agent Assistant /test:team workflow.

Rules

  1. Load first: ~/.gemini/antigravity/skills/agent-assistant/rules/CORE.md — follow all 10 Laws
  2. Agents: Spawn via Codex native multi-agent (~/.gemini/antigravity/agents/)
  3. Skills: Resolve from ~/.gemini/antigravity/skills/agent-assistant/matrix-skills/

Workflow

Load and follow: ~/.gemini/antigravity/skills/agent-assistant/commands/test/team.md

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. 7d ago First seen · 19 lines · 26 tokens per session scan A f87b7e7bc10c

Subscribe to this mod's changes

agent-assistant-test-team is a skill published in the GitHub repository hainamchung/agent-assistant (54 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 174 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 75% identical to agent-assistant-ask-hard, differing in 10 lines, and is treated as a copy.

Related

Other skills, from other repositories

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

neuron-evaluation-engineer

Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving…

neuron-core/neuron-ai · 77 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens

skill-benchmark

Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.

HoangNguyen0403/agent-skills-standard · 16 tokens