loongsuite-pilot-insight

loongsuite-pilot-insight is a skill for Claude Code, Codex from alibaba/loongsuite-pilot. It costs 91 tokens per session (1,494 once invoked), scanned A, original, Apache-2.0.

A reporting workflow for turning LoongSuite Pilot and AI coding-agent logs into structured reports about events, teams, data quality, development efficiency, and AI use. It defines the meaning of the log fields and the measurements used in dashboards.

In plain words
What is it for?
Use it to create or update SLS dashboard specifications and local previews for organisation, event, data-quality, development-efficiency, or AI-usage reporting.
Why use it?
It removes the need to repeatedly interpret raw agent logs and agree on metric definitions. Shared data rules make reports more consistent across scenarios.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to create or update SLS dashboard specifications and local previews for organisation, event, data-quality, development-efficiency, or AI-usage reporting.

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Install with agentmods
npx agentmods add skills/alibaba/loongsuite-pilot/loongsuite-pilot-insight
About the project

LoongSuite Pilot is a local telemetry collector that gathers activity from AI coding agents, converts their different records into a shared event format, and exports the data to selected destinations. Development teams use it to inspect agent usage, token consumption, sessions, tools, traces, and security-sensitive data. Its catalogue add-ons support working with and configuring the collector for coding-agent telemetry.

alibaba/loongsuite-pilot · 179 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add alibaba/loongsuite-pilot --skill loongsuite-pilot-insight
Clone the repo
git clone --depth 1 https://github.com/alibaba/loongsuite-pilot

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for loongsuite-pilot-insight

README.md
[![agentmods](https://agentmods.dev/badge/skills/alibaba/loongsuite-pilot/loongsuite-pilot-insight/github.svg)](https://agentmods.dev/skills/alibaba/loongsuite-pilot/loongsuite-pilot-insight)
Your own site
<a href="https://agentmods.dev/skills/alibaba/loongsuite-pilot/loongsuite-pilot-insight"><img src="https://agentmods.dev/badge/skills/alibaba/loongsuite-pilot/loongsuite-pilot-insight/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for loongsuite-pilot-insight

Your own site · 80×15
<a href="https://agentmods.dev/skills/alibaba/loongsuite-pilot/loongsuite-pilot-insight"><img src="https://agentmods.dev/badge/skills/alibaba/loongsuite-pilot/loongsuite-pilot-insight.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,494 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.01494
Opus 5 $0.00046 $0.00747
Sonnet 5 $0.00018 $0.00299
Haiku 4.5 $0.00009 $0.00149

Measured 12d ago against content hash 8d1cf0ce6e5f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

loongsuite-pilot-insight scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

solutions/loongsuite-pilot-sls-dashboard/.agents/skills/loongsuite-pilot-insight/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LoongSuite Pilot Insight

Purpose

将 LoongSuite Pilot / AI Coding Agent 日志转化为可复用的报表语义。用户应直接使用本 skill;本 skill 负责业务数据语义、指标口径和场景需求解释,再调用 sls-dashboard-builder 的通用能力生成或修改 SLS dashboard JSON。

Boundaries

  • 业务语义放在本 skill:schema.mdcases/loongsuite-pilot-insight/input/<scenario>-spec.md、业务脚本。
  • 通用 SLS dashboard JSON 结构、图表配方、布局和校验规则来自 sls-dashboard-builder
  • 生成产物只写入 cases/loongsuite-pilot-insight/output/,不要写入 skill 目录。
  • *-report.html 是 dashboard JSON 生成后的固定本地预览产物,不作为独立 spec。
  • 不要把 LoongSuite Pilot 业务 schema、CTE、脚本或产物写进 sls-dashboard-builder

Inputs And Outputs

  • 默认需求入口:cases/loongsuite-pilot-insight/input/<scenario>-spec.md
  • 默认 dashboard 输出:cases/loongsuite-pilot-insight/output/<scenario>-dashboard.json
  • 默认预览输出:cases/loongsuite-pilot-insight/output/<scenario>-report.html
  • 数据语义入口:schema.md

若用户只给自然语言需求,先选择或创建一个清晰的 <scenario>-spec.md,再按标准流程生成 dashboard 和预览。

Workflow

  1. 确定 <scenario>,读取或创建 cases/loongsuite-pilot-insight/input/<scenario>-spec.md
  2. 读取 schema.md,确认 Data Source Bindings、字段语义、公共 CTE、指标可加性和风险点。
  3. 解析 spec,将自然语言需求转成视图清单:指标、SQL、图表类型、布局、筛选器和说明块。
  4. 使用 sls-dashboard-builder 生成或更新 cases/loongsuite-pilot-insight/output/<scenario>-dashboard.json
  5. 调用 sls-dashboard-builder.render-report,以 cases/loongsuite-pilot-insight 为 case-dir,生成 cases/loongsuite-pilot-insight/output/<scenario>-report.html
  6. 用户确认预览没问题后,再 create 或 update 线上 SLS 报表;不要跳过预览直接发布。

新增同类报表时只新增 cases/loongsuite-pilot-insight/input/<scenario>-spec.md,不要新增 skill。真实 project、region、logstore 统一维护在 schema.md

Dashboard Spec

spec 用来描述某一次 dashboard 报表需求,结构与 cases/loongsuite-pilot-insight/input/*-spec.md 保持一致。详细业务口径写在 spec 正文或 schema.md,不要塞进 SKILL.md

最小骨架:

---
output: dashboard
dashboard:
  name: <stable-dashboard-name>
  displayName: "<dashboard display name>"
  defaultTimeRange: "-604800s"
  layout: grid
data:
  sources:
    - ai_coding_events
---

# <dashboard display name>

用自然语言描述业务目标、数据范围和全局口径。

## Section: <module name>

### <chart/control/text title>

```yaml
intent: <stat-card|line|bar|pie|top-table|filter|text>
type: <sls-chart-type>
size: <w>x<h>
```

Read the full file on GitHub · 100 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 100 lines · 91 tokens per session scan A 8d1cf0ce6e5f

Subscribe to this mod's changes

loongsuite-pilot-insight is a skill published in the GitHub repository alibaba/loongsuite-pilot (179 stars, last pushed today), licensed Apache-2.0. It adds 91 tokens to every session and 1,494 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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