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/thesylvester/agentic-coding-tools/handoffnpx skills add TheSylvester/agentic-coding-tools --skill handoffgit clone --depth 1 https://github.com/TheSylvester/agentic-coding-toolsWrote 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/thesylvester/agentic-coding-tools/handoff)<a href="https://agentmods.dev/skills/thesylvester/agentic-coding-tools/handoff"><img src="https://agentmods.dev/badge/skills/thesylvester/agentic-coding-tools/handoff.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 | $0.00078 | $0.02322 |
| Opus 5 | $0.00039 | $0.01161 |
| Sonnet 5 | $0.00016 | $0.00464 |
| Haiku 4.5 | $0.00008 | $0.00232 |
Grade A, and why
handoff 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.
How it starts
The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Handoff
Write self-contained prompt(s) to delegate this task to a coding agent with an empty context window.
Cover all relevant insights and specifications from the discussion.
1. Scope Analysis
Before generating, analyze what benefits from shared context:
- Identify coupling — tightly coupled code (same files, shared patterns, mutual dependencies)? Challenge phase boundaries — are they correctly scoped?
- Find natural boundaries — where can work separate cleanly?
- Check context fit — will grouped work fit in one context window (~20 files max)?
Decision:
| Signal | Format |
|---|---|
| Single focused task, <=3 files, one clear goal | Single prompt |
| Multiple distinct file groups or components | Chain |
| Discovery + implementation + verification pattern | Chain |
| Multiple sequential dependencies | Chain |
| Independent work units, no sequencing needed | Parallel |
If decomposing, announce: "Task splits into [N] units. Generating [N] prompt files."
2. Pre-Generation
Ambiguity resolution — scan for optionality before generating:
| Pattern | Resolution |
|---|---|
| "Optionally (but recommended)" | Include — recommended means do it |
| "optional... off by default" | Skip — low priority |
| "If X, then Y" | Check if X is true in context |
| Detailed spec follows the "optional" mention | Include — effort was spent on it |
| Mentioned in Definition of Done | Include — success criterion |
Only ask the user if genuinely unresolvable.
Extract for verbatim preservation: code snippets, protocol specs, exact commands, file paths (absolute), exceptions and nuances. These appear verbatim, never summarized.
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 · 257 lines · 78 tokens per session scan A 10aad3054f76
handoff is a skill published in the GitHub repository TheSylvester/agentic-coding-tools (5 stars, last pushed 19d ago), licensed MIT. It adds 78 tokens to every session and 2,322 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
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brainstorming
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auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
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
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…