Atlas / Skills / wshobson / Track Management

Track ManagementSAFE

skills/wshobson/track-management

Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.0.0
Hosts
—
License
MIT
Stars
40,146
01

Overview

Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi

Read from source at commit adb71e0b2512OBSERVED · 2026-10-02
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: track-management
description: Use this skill when creating, managing, or working with Conductor tracks - the logical work units for features, bugs, and refactors. Applies to spec.md, plan.md, and track lifecycle operations.
version: 1.0.0
---

# Track Management

Guide for creating, managing, and completing Conductor tracks - the logical work units that organize features, bugs, and refactors through specification, planning, and implementation phases.

## When to Use This Skill

- Creating new feature, bug, or refactor tracks
- Writing or reviewing spec.md files
- Creating or updating plan.md files
- Managing track lifecycle from creation to completion
- Understanding track status markers and conventions
- Working with the tracks.md registry
- Interpreting or updating track metadata

## Detailed patterns and worked examples

Detailed pattern documentation lives in `references/details.md`. Read that file when the navigation tier above is insufficient.

## Best Practices

1. **One track, one concern**: Keep tracks focused on a single logical change
2. **Small phases**: Break work into phases of 3-5 tasks maximum
3. **Verification after phases**: Always include verification tasks
4. **Update markers immediately**: Mark task status as you work
5. **Record SHAs**: Always note commit SHAs for completed tasks
6. **Review specs before planning**: Ensure spec is complete before creating plan
7. **Link dependencies**: Explicitly note track dependencies
8. **Archive, don't delete**: Preserve completed tracks for reference
9. **Size appropriately**: Keep tracks between 1-5 days of work
10. **Clear acceptance criteria**: Every requirement must be testable
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

LOWInventory / provenance · inv.symlink · CWE-1104
CLAUDE.md
CLAUDE.md
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-10-02 · audit v0.4.1 · source sha adb71e0b2512full audit observations/trust-audit/skill/wshobson__track-management.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-02adb71e0b2512SAFEB89first audit
05

Questions

What does the Track Management skill do?

Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi

Is Track Management safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Track Management access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (adb71e0b2512), read on 2026-10-02. The repository is watched, and a new audit runs when it changes — this is the first audit.

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