القائمة
Add a new E2E test case to tests/e2e/prompts.yaml for LangSmith evaluation. Use when adding interaction pairs to test, covering new ANSM drug classes, or rebalancing eval coverage.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Run the LangSmith evaluation suite and display pass/fail results
Add a new LangChain tool to the Medox ReAct agent. Use when creating a new tool file, registering it in the graph, and writing its test.
Create a git commit with Medox conventions (co-author, conventional type/scope). Invoke manually with /commit — do NOT trigger automatically.
Audit code changes on the current branch and update docs/ + .claude/rules/ to stay in sync. Run before /pr.
Create or update a GitHub pull request following Medox conventions (author spicode-bot, reviewer spideystreet). Invoke manually with /pr — do NOT trigger automatically.
Fetch and display the full status of the current PR — CI checks, GitHub Actions runs, reviews, and code comments — using GitHub MCP tools. Invoke manually with /pr-status.
| name | add-eval-case |
| description | Add a new E2E test case to tests/e2e/prompts.yaml for LangSmith evaluation. Use when adding interaction pairs to test, covering new ANSM drug classes, or rebalancing eval coverage. |
| argument-hint | <substance-a> <substance-b> |
Identify the interaction pair — substance A + substance B, with ANSM level:
Contre-indication (CI) or Association déconseillée (AD) → expect_warn: truePrécaution d'emploi (PE) or À prendre en compte (APEC) → expect_warn: falseWrite a realistic clinical scenario (in French, pharmacist/physician perspective):
Add the case to tests/e2e/prompts.yaml:
# <ANSM level>: <mechanism> — DB pair: <SUBSTANCE_A> + <SUBSTANCE_B> (<CI|AD|PE|APEC>)
- id: <substance_a>_<substance_b>
prompt: >
<Clinical scenario in French.>
expect_warn: true # or false
expect_in:
- "⚠️" # only if expect_warn: true
- "<substance name as it appears in French DCI>"
expect_not:
- "<unrelated substance that should not appear>"
Choose expect_not carefully — must be a substance meaningfully different,
not a trivial variation. Used as false-positive guard.
Run the eval to validate the new case passes:
uv run dotenv -f .env run -- python scripts/run_eval.py
Maintain balance across:
expect_warn: true cases (CI + AD) — currently: ibuprofene_methotrexate, ciclosporine_simvastatineexpect_warn: false cases (PE + true negatives) — currently: amiodarone_simvastatine, paracetamol_amoxicilline, generiques_dolipraneid format: <substance_a>_<substance_b> in lowercase, underscores, no accentsexpect_in terms must match what the agent actually outputs (test with a manual run first)