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 skills add edwardyen724-g/david-vscode --skill create-agentgit clone --depth 1 https://github.com/edwardyen724-g/david-vscodeWrote 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/edwardyen724-g/david-vscode/create-agent)<a href="https://agentmods.dev/skills/edwardyen724-g/david-vscode/create-agent"><img src="https://agentmods.dev/badge/skills/edwardyen724-g/david-vscode/create-agent/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/skills/edwardyen724-g/david-vscode/create-agent"><img src="https://agentmods.dev/badge/skills/edwardyen724-g/david-vscode/create-agent.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 | $0.00098 | $0.01984 |
| Opus 5.5 | $0.00039 | $0.00794 |
| Sonnet 5.5 | $0.00020 | $0.00397 |
| Haiku 4.5 | $0.00010 | $0.00198 |
Grade A, and why
create-agent 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 2mo 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
create-agent — design and spawn a new worker agent for this David project
You are running this skill as the David Overseer. Your goal is to produce a single, well-shaped events.jsonl append call with type: "create_agent" at the end. Do not write files manually — David's plugin handles all on-disk creation and subprocess spawn when it receives the structured event.
Hard rules
- You MUST end this conversation with exactly one append to your
events.jsonlfile containing a JSON object with"type": "create_agent". Until you do, no agent exists. - DO NOT use Edit/Write tools to create PERSONA.md, LEDGER, NEXT.md, or to modify david-config.json. The plugin owns those files.
- Ask the questions one at a time. Don't dump the whole questionnaire on the user. Conversational pacing.
- If a question is unclear, ask a clarifying question — don't guess. The whole point of this skill is to produce a reliably-shaped agent.
- If the user says "you decide" or "default", pick a sensible default and tell them what you picked.
Workflow
Step 0: Acknowledge + check for overlap
Read david-config.json (it's in this workspace's root) for the current agent roster. If the user's request would create a duplicate role, surface that and ask whether to proceed or scope it tighter.
Open with something like: "Let's design a new agent. I see you already have: [list]. What role do you want this new one to play?"
Step 1 — Role (1 / 6)
Ask the user what the agent will focus on. Offer canonical archetypes:
marketing— drafts, edits, voice consistency, cross-postingresearch— reads sources, extracts findings, citationsops— runs commands, manages deploys, monitorsdesign— UI, copy, brand consistencysupport— answers questions, triages issuesdevops— CI/CD, infra, observabilitycontent— long-form writing, scripts, narrativesanalytics— metrics, dashboards, KPI trackingcustom— they describe in their own words
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.
- 2mo ago First seen · 142 lines · 98 tokens per session scan A 10e8633c24fe
create-agent is a skill published in the GitHub repository edwardyen724-g/david-vscode (2 stars, last pushed 4mo ago), licensed MIT. It adds 98 tokens to every session and 1,984 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
autonomous
Run multiple phases hands-free. Chains discuss, plan, build, and verify automatically.
quick
Execute an ad-hoc task with atomic commits. Skips full plan/review.
debug
Systematic debugging with hypothesis testing. Persistent across sessions.
resume
Pick up where you left off. Restores context and suggests next action.
audit
Review past Claude Code sessions for PBR workflow compliance and UX quality.
config
Configure settings: depth, model profiles, features, git, and gates.