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---
name: trajectory-mining
title: Deterministic trajectory mining
description: Mine repeated evidence-linked tool sequences into bounded draft skill proposals without model inference.
audience: ["tedi"]
capabilities:
network: false
mcp:
tedi: [mine_skill_candidates]
---
# Deterministic trajectory mining
Executable workflow: `./scripts/workflow.ts`. This asset is initially on demand;
it declares no schedule and has no reasoning or messaging capability.
Identity comes from the immutable admitted run context, never from input. The
existing mining API owns evidence selection, distinct-run support, canonical
tool resolution, duplicate detection and draft proposal creation. This workflow
does not approve or apply proposals.
| Input | Default | Bounds |
| -------------- | ------- | ---------------------------------------------- |
| `dryRun` | `true` | Must explicitly be `false` to create proposals |
| `windowDays` | 14 | 1–90 |
| `minSupport` | 3 | 3–50 distinct successful runs |
| `maxProposals` | 3 | 1–10 |
Results distinguish `observation` (dry-run), `proposal_created` (draft IDs), and
`no_change` (no proposals created). Counts describe mining, not accepted value.
API failures and malformed results fail the workflow; they never become empty
successful results. A timeout may follow a committed proposal, so automatic
step retries are disabled. Inspect existing proposals before a manual retry.
## Controlled rollout
Keep this asset on demand. Add a recurring schedule only after an on-demand run
succeeds, dedupe is verified, and proposal outcomes show value.
