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.
git clone --depth 1 https://github.com/jnPiyush/AgentXWrote 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.
[](https://agentmods.dev/commands/jnpiyush/agentx/ado-process-my-work-items-for-task-planning)<a href="https://agentmods.dev/commands/jnpiyush/agentx/ado-process-my-work-items-for-task-planning"><img src="https://agentmods.dev/badge/commands/jnpiyush/agentx/ado-process-my-work-items-for-task-planning/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.
<a href="https://agentmods.dev/commands/jnpiyush/agentx/ado-process-my-work-items-for-task-planning"><img src="https://agentmods.dev/badge/commands/jnpiyush/agentx/ado-process-my-work-items-for-task-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.00147 |
| Opus 5.5 | $0.00009 | $0.00059 |
| Sonnet 5.5 | $0.00004 | $0.00029 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
ADO: Plan My Work Items 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 1mo 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.
What it actually says
Retrieve the current user assigned work items and produce a task plan.
- Retrieve assigned work items using Azure DevOps CLI or REST with completed items filtered out.
- Group items by sprint (current, upcoming, backlog).
- Sort within each group by priority and estimated effort.
- Flag items missing estimates, acceptance criteria, or parent assignments.
- Break down large items into sub-tasks where helpful.
- Write the plan to
.copilot-tracking/workitems/current-work/planning-log.md. - Present recommended order with reasoning and estimated daily focus allocation.
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.
- 1mo ago First seen · 15 lines · 22 tokens per session scan A c7b614913896
ADO: Plan My Work Items is a command published in the GitHub repository jnPiyush/AgentX (16 stars, last pushed 3d ago), licensed Apache-2.0. It adds 22 tokens to every session and 147 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-06.
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