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.
npx agentmods add skills/minghinmatthewlam/agent-guards/new-tasknpx skills add minghinmatthewlam/agent-guards --skill new-taskgit clone --depth 1 https://github.com/minghinmatthewlam/agent-guardsWrote 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/skills/minghinmatthewlam/agent-guards/new-task)<a href="https://agentmods.dev/skills/minghinmatthewlam/agent-guards/new-task"><img src="https://agentmods.dev/badge/skills/minghinmatthewlam/agent-guards/new-task.svg" alt="Measured on agentmods" 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 | $0.00052 | $0.00182 |
| Opus 5 | $0.00026 | $0.00091 |
| Sonnet 5 | $0.00010 | $0.00036 |
| Haiku 4.5 | $0.00005 | $0.00018 |
Grade A, and why
new-task 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 4d 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
New Task
Consider $ARGUMENTS if provided.
Before planning or implementation:
- Present a concise Current understanding, beginning with the Goal you believe the user wants to achieve, followed by the important product behavior, constraints, assumptions, and intended deliverable.
- Ask only product-related or high-priority questions whose answers could materially change scope, behavior, architecture, or success.
- Update the understanding after the user answers and repeat only when a material ambiguity remains.
When aligned, return a compact confirmed brief with success criteria and any remaining assumptions, then continue only as authorized.
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.
- 4d ago First seen · 18 lines · 52 tokens per session scan A 08a34b300e40
new-task is a skill published in the GitHub repository minghinmatthewlam/agent-guards (39 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 182 once invoked, about $0.0003 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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chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
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