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图像处理执行命令github未标认证来源可访问许可证需确认审计提醒

worker-image-investigation工人形象调查

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

392

周安装

16

GitHub Stars

3

下载量

127
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:worker-image-investigation(工人形象调查)
来源仓库:https://github.com/jwmossmoz/agent-skills
仓库路径:skills/worker-image-investigation
安装命令:
npx skills add https://github.com/jwmossmoz/agent-skills --skill worker-image-investigation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jwmossmoz/agent-skills --skill worker-image-investigation

简介

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。

  • 使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。
  • 可通过 npx skills add 命令从指定 GitHub 仓库安装,具体路径为 skills/worker-image-investigation。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Worker Image Investigation

Investigate Taskcluster task failures by comparing worker images, extracting SBOM info, and debugging Azure VMs.

Use this local skills checkout path for commands in this file:

SKILLS_ROOT=/Users/jwmoss/github_moz/agent-skills/skills
WII="$SKILLS_ROOT/worker-image-investigation/scripts/investigate.py"

Prerequisites

  • taskcluster CLI: brew install taskcluster
  • az CLI (for VM debugging): brew install azure-cli && az login
  • uv for running scripts

Usage

# Investigate a failing task - get worker pool, image version, status
uv run "$WII" investigate <TASK_ID>
uv run "$WII" investigate https://firefox-ci-tc.services.mozilla.com/tasks/<TASK_ID>

# Compare two tasks (e.g., passing vs failing on same revision)
uv run "$WII" compare <PASSING_TASK_ID> <FAILING_TASK_ID>

# List running workers in a pool (for Azure VM access)
uv run "$WII" workers gecko-t/win11-64-24h2

# Get SBOM/image info for a worker pool
uv run "$WII" sbom gecko-t/win11-64-24h2

# Get Windows build and GenericWorker version from Azure VM
uv run "$WII" vm-info <VM_NAME> <RESOURCE_GROUP>

Investigation Workflow

1. Initial Task Analysis

# Get task info including worker pool and image version
uv run "$WII" investigate <FAILING_TASK_ID>

Output includes: taskId, taskLabel, workerPool, workerId, imageVersion, status.

2. Resolve Treeherder Job ID

treeherder-cli --similar-history takes a Treeherder job ID, not a Taskcluster task ID. Resolve it from the task ID:

REPO=autoland  # or try, mozilla-central, etc.
curl -s "https://treeherder.mozilla.org/api/project/${REPO}/jobs/?task_id=<TASK_ID>&count=5" \
  | jq '.results[0] | {id, job_type_name, result, platform}'

Save the id field as JOB_ID.

3. Check Similar Job History for a Pass/Fail Cliff

Run --similar-history with a large count on the branch where failures are observed. A sudden flip from passing to all-failing indicates a regression — possibly an image update.

treeherder-cli --similar-history <JOB_ID> --similar-count 200 --repo autoland --json \
  | jq '[.[] | {result, job_type_name, push_timestamp}]'

Look for a timestamp where results flip from success to testfailed/busted. Correlate that date against when the image was rolled out.

4. Cross-Branch Comparison

If autoland shows all failures, check mozilla-central (which may be on an older image) to confirm whether the job type still passes elsewhere:

job_type="<job_type_name from step 2>"
enc=$(jq -nr --arg v "$job_type" '$v|@uri')

for repo in autoland mozilla-central mozilla-beta; do
  curl -s "https://treeherder.mozilla.org/api/project/${repo}/jobs/?job_type_name=${enc}&result=success&count=50" \
    | jq -r --arg repo "$repo" '
        if (.results|length)==0 then "\($repo)\tNO_PASSING_RUNS"
        else (.results|last) as $r | "\($repo)\t\($r.last_modified)\t\($r.id)"
        end'
done

If mozilla-central shows recent passes but autoland does not, the failure is branch/image-specific.

5. Compare Tasks to Confirm Image Version Difference

Grab a passing task ID from step 4 (e.g., from a mozilla-central run) and compare:

uv run "$WII" compare <PASSING_TASK_ID> <FAILING_TASK_ID>

Look for differences in imageVersion (e.g., 1.0.8 vs 1.0.9). A version bump that aligns with the pass/fail cliff confirms the image caused the regression.

6. Debug Running Worker (Azure)

# Find running workers
uv run "$WII" workers gecko-t/win11-64-24h2

# Get VM details - extract VM name from workerId (e.g., vm-xyz...)
uv run "$WII" vm-info vm-xyz RG-TASKCLUSTER-WORKER-MANAGER-PRODUCTION

7. Direct Azure VM Commands

For deeper investigation, use Azure CLI directly:

# Get Windows build number
az vm run-command invoke --resource-group RG-TASKCLUSTER-WORKER-MANAGER-PRODUCTION \
  --name <VM_NAME> --command-id RunPowerShellScript \
  --scripts "(Get-ItemProperty 'HKLM:\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion').CurrentBuild"

# Get GenericWorker version
az vm run-command invoke --resource-group RG-TASKCLUSTER-WORKER-MANAGER-PRODUCTION \
  --name <VM_NAME> --command-id RunPowerShellScript \
  --scripts "Get-Content C:\\generic-worker\\generic-worker-info.json"

# Get recent Windows updates
az vm run-command invoke --resource-group RG-TASKCLUSTER-WORKER-MANAGER-PRODUCTION \
  --name <VM_NAME> --command-id RunPowerShellScript \
  --scripts "Get-HotFix | Sort-Object InstalledOn -Descending | Select-Object -First 10"

# Check for file system filters (AppLocker, etc.)
az vm run-command invoke --resource-group RG-TASKCLUSTER-WORKER-MANAGER-PRODUCTION \
  --name <VM_NAME> --command-id RunPowerShellScript \
  --scripts "fltMC"

Creating Debug VMs

Spin up a throwaway Azure VM from the same image a worker pool uses.

Constraints

  1. VM name ≤ 15 characters — Windows NetBIOS limit. Generate short names (e.g., dbg-1a2b3c).
  2. Confirm vmSize from worker manager — Never guess. Use the /taskcluster skill to look up the worker pool configuration and extract the vmSize from launchConfigs. Never hardcode or assume a VM size.
  3. Use a simple password — These VMs are throwaway. Use Password1!.

Workflow

  1. Use the /taskcluster skill to get the worker pool config for the target pool (e.g., gecko-t/win11-64-24h2). Extract the vmSize and image reference from config.launchConfigs.
  2. Create the VM (name must be ≤ 15 chars):
az vm create \
  --resource-group jmoss-win11 \
  --name "dbg-abc123" \
  --image "<image-id-from-step-1>" \
  --size "<vmSize-from-step-1>" \
  --admin-username azureuser \
  --admin-password "Password1!" \
  --location eastus
  1. Run commands on the VM:
az vm run-command invoke \
  --resource-group jmoss-win11 \
  --name "dbg-abc123" \
  --command-id RunPowerShellScript \
  --scripts "<POWERSHELL_COMMAND>"
  1. Delete when done:
az vm delete --resource-group jmoss-win11 \
  --name "dbg-abc123" --yes

See references/azure-commands.md for the full command reference.

Common Resource Groups

  • Production: RG-TASKCLUSTER-WORKER-MANAGER-PRODUCTION
  • Staging: RG-TASKCLUSTER-WORKER-MANAGER-STAGING

Common Worker Pools

PoolDescription
gecko-t/win11-64-24h2Windows 11 24H2 64-bit production
gecko-t/win11-64-24h2-alphaWindows 11 24H2 64-bit alpha (os-integration)
gecko-t/win11-32-24h2Windows 11 24H2 32-bit

Azure Resource Groups to Review

  • RG-TASKCLUSTER-WORKER-MANAGER-PRODUCTION contains all taskcluster azure windows 10 windows 11 windows server machines.

Stage Taskcluster

For CI tasks on fxci-config PRs:

uv run "$WII" --root-url https://stage.taskcluster.nonprod.cloudops.mozgcp.net \
  investigate <TASK_ID>

Output Format

All commands return JSON for easy parsing with jq:

uv run "$WII" investigate <TASK_ID> | jq '.imageVersion'
uv run "$WII" workers gecko-t/win11-64-24h2 | jq '.workers[0].workerId'

SBOM Encoding Note

Some Windows worker SBOM markdown artifacts are UTF-16LE encoded. If text looks garbled, decode before parsing:

curl -sL <SBOM_URL> | iconv -f UTF-16LE -t UTF-8

Related Skills

  • taskcluster: Query task status, logs, artifacts
  • treeherder: Find tasks by revision and job type
  • os-integrations: Run mach try commands for testing

References

  • Worker image configs: fxci-config/worker-images/
  • SBOM files: Check Azure Shared Image Gallery
  • ronin_puppet: Worker configuration management

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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可疑

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权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/jwmossmoz/agent-skills --skill worker-image-investigation 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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