- Define Rio and Theseus as economics and model-integrity evaluators - Add DB, Hermes, and OpenClaw skills with no-secret defaults - Gate CI on LLM refinement contracts; verify with 422-test suite `.agents/skills/decision-engine-refinement/SKILL.md` `.agents/skills/nousresearch-hermes-agent/SKILL.md` `.agents/skills/openclaw-agent/SKILL.md` `.agents/skills/teleo-db-operator/SKILL.md` `.crabbox.yaml` `.github/workflows/ci.yml` `docs/llm-refinement-decision-engine.md` `scripts/check_llm_refinement_contract.py`
76 lines
2.3 KiB
Markdown
76 lines
2.3 KiB
Markdown
---
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name: teleo-db-operator
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description: Use when reading, auditing, backing up, querying, or safely writing the Teleo pipeline SQLite database, including review_records, audit_log, costs, prs, sources, and contributor feedback loops.
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---
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# Teleo DB Operator
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Default to read-only. The database is evidence for decision-engine refinement, not a scratchpad.
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## Discover
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1. Read `lib/config.py` for `DB_PATH` and related paths.
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2. Prefer local or copied DBs over production DBs.
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3. If using production, record whether access is read-only or write-authorized.
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4. Never print secret values found near DB paths or shell history.
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## Read Path
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Use `sqlite3` or Python `sqlite3`.
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Recommended read targets:
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- `review_records`: evaluator, model, outcome, rejection reason.
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- `audit_log`: route decisions, approve/reject events, failure details.
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- `costs`: model cost by date/stage.
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- `prs`: status, tier, route compatibility fields, verdicts.
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- `sources`: priority, feedback, extraction model.
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For refinement work, export aggregated JSON or CSV into `.crabbox-results/` or `proof/`, not raw private DB snapshots.
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## Write Path
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Writes require explicit authorization and a backup.
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Required sequence:
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1. Create a backup or operate on a copy.
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2. Write the exact SQL in a retained artifact.
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3. Use `BEGIN IMMEDIATE;`.
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4. Apply the minimal mutation.
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5. Read back the changed rows.
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6. Commit the transaction only after readback is correct.
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7. Write a blocker artifact instead of guessing if any precondition is missing.
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Never write production prompt/model state as part of an experiment. Experiments should replay fixtures and produce proof first.
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## Safety Boundaries
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- Do not attach, copy, or commit `pipeline.db`.
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- Do not run broad `UPDATE` or `DELETE` without a `WHERE` clause and a prior row count.
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- Do not mutate `prs`, `sources`, or contributor state from a model response alone.
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- Do not treat local copied DB proof as production proof.
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## Useful Queries
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```sql
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SELECT reviewer, reviewer_model, outcome, rejection_reason, count(*) AS n
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FROM review_records
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GROUP BY reviewer, reviewer_model, outcome, rejection_reason
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ORDER BY n DESC;
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```
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```sql
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SELECT event, count(*) AS n
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FROM audit_log
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WHERE stage = 'evaluate'
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GROUP BY event
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ORDER BY n DESC;
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```
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```sql
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SELECT model, stage, calls, input_tokens, output_tokens, cost_usd
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FROM costs
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ORDER BY date DESC, cost_usd DESC
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LIMIT 50;
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```
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