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 agentmods add commands/dmzoneill/redhat-ai-workflow/run-local-testsgit clone --depth 1 https://github.com/dmzoneill/redhat-ai-workflowWrote 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/commands/dmzoneill/redhat-ai-workflow/run-local-tests)<a href="https://agentmods.dev/commands/dmzoneill/redhat-ai-workflow/run-local-tests"><img src="https://agentmods.dev/badge/commands/dmzoneill/redhat-ai-workflow/run-local-tests.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 | $0.00000 | $0.00727 |
| Opus 5 | $0.00000 | $0.00364 |
| Sonnet 5 | $0.00000 | $0.00145 |
| Haiku 4.5 | $0.00000 | $0.00073 |
Grade A, and why
run-local-tests scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/run-local-tests
Run the test suite locally using docker-compose.
Overview
Run the test suite locally using docker-compose.
Underlying Skill: review_pr
This command is a wrapper that calls the review_pr skill. For detailed process information, see skills/review_pr.md.
Arguments
| Argument | Required | Description |
|---|---|---|
mr_id |
No | - |
run_tests |
No | - |
Usage
Examples
# Make sure docker-compose is running
cd ~/src/automation-analytics-backend
docker-compose up -d
# Run migrations
make migrations
make data
# Run tests
make test
# Get into the FastAPI container
docker exec -it automation-analytics-backend-api-fastapi-1 bash
# Inside container:
export POSTGRESQL_USER="debug"
export POSTGRESQL_PASSWORD="debug"
export SECRET_KEY="1234"
export DB_SSLMODE=disable
export DATABASE_PREFIX="postgresql://${POSTGRESQL_USER}:${POSTGRESQL_PASSWORD}@localhost"
# Run all tests
pytest -vv --tb=short
# Run specific test file
pytest test/test_hello.py -v
# Run tests matching a pattern
pytest -k "billing" -v
skill_run("review_pr", '{"mr_id": 1450, "run_tests": true}')
Process Flow
This command invokes the review_pr skill. The process flow is:
flowchart LR
START([User runs /run-local-tests]) --> VALIDATE[Validate Arguments]
VALIDATE --> CALL[Call review_pr skill]
CALL --> EXECUTE[Execute Skill Steps]
EXECUTE --> RESULT[Return Result]
RESULT --> END([Complete])
style START fill:#6366f1,stroke:#4f46e5,color:#fff
style END fill:#10b981,stroke:#059669,color:#fff
style CALL fill:#3b82f6,stroke:#2563eb,color:#fff
For detailed step-by-step process, see the review_pr skill documentation.
Details
Instructions
This command helps you run tests in the local development environment.
Quick Start
# Make sure docker-compose is running
cd ~/src/automation-analytics-backend
docker-compose up -d
# Run migrations
make migrations
make data
# Run tests
make test
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.
- 5d ago First seen · 137 lines · 0 tokens per session scan A 830ce2bf4f29
run-local-tests is a command published in the GitHub repository dmzoneill/redhat-ai-workflow (5 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 727 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 2026-08-31.
Other commands, from other repositories
pr-address
Address PR review comments on current branch.
enforce_standards
CRITICAL: Before running the code standards enforcer, we must prepare the stack properly and abort if there are merge conflicts.
OPSX: Sync
Sync delta specs from a change to main specs.
OPSX: Verify
Verify implementation matches change artifacts before archiving.
OPSX: Continue
Continue working on a change - create the next artifact (Experimental).
spec-research
需求 → 约束集(并行探索 + OPSX 提案).