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aeo-board

Render and read an AEO decision board (scoreboard + per-query calls) from a local-CLI evidence run. Use when the user wants a table, scoreboard, what we should do, or analysis of an AEO run.

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Quellinformationen

Repository
probelabs/aeo
Letzte Quellaktivität
7. September 2026 um 12:16
Erkannte Sprache von SKILL.md
Englisch
Sterne
1
Forks
0

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
aeo-board
description
Render and read an AEO decision board (scoreboard + per-query calls) from a local-CLI evidence run. Use when the user wants a table, scoreboard, what we should do, or analysis of an AEO run.
# AEO decision board Two audiences, one command. Humans get markdown. Agents get JSON with the same cells and no prose. Do **not** open consumer LLM websites. This skill only reads evidence JSON produced by `python3 -m aeo run`. ## When to use - "Show me a table / scoreboard" - "What should we do with this run?" - "Analyze this AEO evidence" - `/aeo-board` ## Steps 1. Find the latest evidence file, or use the path they gave. Typical: `aeo-data/runs/<run_id>.json` or `examples/xerj/aeo-data/example-run.json`. 2. Run `python3 -m aeo board <file>` (optional `--format md|html|json`). Default writes both: - `aeo-data/boards/<run_id>.md` — for humans / decision makers - `aeo-data/boards/<run_id>.json` — for agents (`schema_version: aeo-cli-board-v1`) 3. Show the markdown board to the human. 4. If asked to analyze: read the **board JSON**, not the raw answers first. Summarize only focus `gap` and `search-blind` rows. Watch `trap` rows are expected — mention the tally, do not narrate each miss. Promote a watch query to focus only if evidence shows they started searching or mentioned the brand. 5. Never invent checkmarks. Recompute from evidence (`python3 -m aeo board` again if unsure). ## Calls | Call | Meaning | | --- | --- | | `win` | Brand mentioned on search or knowledge. | | `gap` | Focus, no brand, they did search. | | `search-blind` | Focus, search allowed, they did not search. | | `trap` | Watch, no brand (expected). | `⚠` = confirmation search (vendors already in the tool-call strings, brand was not). Not discovery. Full rules: [METHODOLOGY.md](../../METHODOLOGY.md). Measurement skill: [aeo](../aeo/SKILL.md). Turning a board into articles: [aeo-playbook](../aeo-playbook/SKILL.md). Zero mentions after pages are already live: [PLAYBOOK.md](../../PLAYBOOK.md) §11, not more articles. A human run write-up is not the board itself. It must follow [PLAYBOOK.md](../../PLAYBOOK.md) §10 (method, live URL check, per-engine×arm table, confirmation vs discovery, search-blind seeds, cannibalize map, waves, refuse list, `--only-id` re-run). After a zero-mention grid, reason with §9 before drafting. `--format html` is a view of the **board**, not a substitute for that artifact. Merge engine files with `python3 -m aeo report --html --out report.html a.json b.json`. After the board, the post-run judge (`scripts/judge_run.py`) can extract vendors from every completed arm — including misses that only name an unlisted product (a **surprise**, vs the config seed list) — then `scripts/render_judge_html.py`. See [PLAYBOOK.md](../../PLAYBOOK.md) §12.
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