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 gigayaya/DAA-Master --skill daa-coregit clone --depth 1 https://github.com/gigayaya/DAA-MasterWrote 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/gigayaya/daa-master/daa-core)<a href="https://agentmods.dev/skills/gigayaya/daa-master/daa-core"><img src="https://agentmods.dev/badge/skills/gigayaya/daa-master/daa-core.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.01208 |
| Opus 5 | $0.00015 | $0.00604 |
| Sonnet 5 | $0.00006 | $0.00242 |
| Haiku 4.5 | $0.00003 | $0.00121 |
Grade A, and why
daa-core 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Declarative Action Architecture (DAA) — Core Principles
What is DAA
DAA is a strict three-layer separation pattern for E2E automation testing. It enforces that tests are declarative, actions are self-verifying, and physical interactions are pure execution — eliminating false positives and maximizing maintainability.
The Three Layers
Layer 1: Test Layer (The "What")
The Test Layer is 100% declarative. It describes WHAT the user is doing, not HOW.
Iron Rules:
- ZERO logic: No
if, nofor, nowhile, notry/catch - ZERO direct system calls: No raw HTTP requests, no WebDriver calls, no database queries
- ZERO assertions: All verification lives in the Action Layer
- Tests read like plain-English documentation — a Product Manager should understand them
// GOOD — Pure declarative
test_user_checkout_journey():
navigate_to_home_and_verify_title()
search_for_product_and_verify_results_not_empty("iPhone 15")
add_first_result_to_cart_and_verify_toast()
// BAD — Logic leaked into test
test_user_checkout_journey():
page.goto(URL)
if page.title() != "Home":
raise Error("Wrong page")
page.fill("#search", "iPhone 15")
page.click("#submit")
results = page.query_all(".result")
assert len(results) > 0
Layer 2: Action Layer (The "How" + Verification)
This is the heart of DAA. It translates declarative test steps into execution + verification.
Iron Rules:
- Self-Verification Mandate: Every action method MUST verify its own success. You never just "click button"; you "click button and verify modal opens." This eliminates false positives.
- No Direct System Access: Delegates all system interaction to the Physical Layer.
- Compose, Don't Repeat: Build complex workflows by composing smaller actions.
Action Hierarchy
| Level | Type | Description | Example |
|---|---|---|---|
| Level 1 | Atomic Action | Single operation + self-verify | create_user_and_verify() |
| Level 2 | Composite Action | Business workflow = multiple Atomics | perform_device_upgrade() |
What ships with it
2 files 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.
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.
- 6d ago First seen · 117 lines · 31 tokens per session scan A 78a965fc29d4
daa-core is a skill published in the GitHub repository gigayaya/DAA-Master (1 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 1,208 once invoked, about $0.0002 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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