trajectory-mining SKILL.md skillA

trajectory-mining from lingtai-ai/lingtai-kernel is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add lingtai-ai/lingtai-kernel/trajectory-mining@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
lingtai-ai/lingtai-kernel
Path
src/lingtai/intrinsic_skills/system-manual/reference/trajectory-mining/SKILL.md
Versions recorded
2
Latest version
v1.0.0, committed Aug 7, 2026
First version recorded
Aug 7, 2026
Size
16,814 bytes
Repository stars
11
License
Apache-2.0

Nested system-manual reference for trajectory mining — turning LingTai runtime event streams into validated, actionable improvement candidates. Read this after `reference/sqlite-log-query/SKILL.md` has given you the data access layer: manifest policy, cheap-model/daemon strategy, prompt templates, the finding schema and confidence rubric, the digest template, output routing, and periodic mode.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Trajectory Mining

Trajectory mining is the systematic process of turning LingTai runtime event
streams into actionable lessons for improving LingTai itself. It starts from the
SQLite log sidecar and uses SQL as the primary data access layer.

**Prerequisite reading:** `reference/sqlite-log-query/SKILL.md` owns the data
layer — `lingtai-agent log doctor|query|rebuild`, the
`events`/`chat_entries`/`token_entries` schema, source discovery, the mechanical
first-pass metric and slicing queries, and the canonical redaction rules. This
node owns only the workflow built on top of it.

## When to use / when not to use

**Use trajectory mining when:**
- The human asks to mine, analyze, or audit LingTai event logs.
- The human says something like "最近轨迹", "look at my agent logs", "what went
  wrong last session", "scan for patterns", or "generate improvement candidates".
- You need to systematically extract operational pitfalls from large structured
  traces before writing a knowledge entry, skill, or issue draft.
- You want to build a cheap pre-pass before involving expensive models.

**Do not use trajectory mining when:**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add lingtai-ai/lingtai-kernel/trajectory-mining@sha256:f702c67e021538f7

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_beicpoqssrm673bd.svg)](https://markdownregistry.com/a/art_beicpoqssrm673bd)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, all committed on Aug 7, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-08-07 4093db3 16,814 BA view · diff
v1.0.02026-08-07 51139ee 16,721 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (16814 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

lingtai-ai/lingtai-kernel · 11 stars · license Apache-2.0 · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_beicpoqssrm673bd
GET https://markdownregistry.com/api/v1/resolve?ref=lingtai-ai/lingtai-kernel/trajectory-mining
GET https://markdownregistry.com/api/v1/blob/f702c67e021538f706c58f483cdabcf6b5274234d6ff022929800bfa4975e68b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in lingtai-ai/lingtai-kernel

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