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/resciencelab/tryskills/convex-create-componentnpx skills add ReScienceLab/TrySkills --skill convex-create-componentgit clone --depth 1 https://github.com/ReScienceLab/TrySkillsWhat 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 | $0.00095 | $0.02386 |
| Opus 5 | $0.00048 | $0.01193 |
| Sonnet 5 | $0.00019 | $0.00477 |
| Haiku 4.5 | $0.00010 | $0.00239 |
Grade A, and why
convex-create-component 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 2d 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.
This is a copy
92% identical to convex-create-component — 101 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convex Create Component
Create reusable Convex components with clear boundaries and a small app-facing API.
When to Use
- Creating a new Convex component in an existing app
- Extracting reusable backend logic into a component
- Building a third-party integration that should own its own tables and workflows
- Packaging Convex functionality for reuse across multiple apps
When Not to Use
- One-off business logic that belongs in the main app
- Thin utilities that do not need Convex tables or functions
- App-level orchestration that should stay in
convex/ - Cases where a normal TypeScript library is enough
Workflow
- Ask the user what they are building and what the end goal is. If the repo already makes the answer obvious, say so and confirm before proceeding.
- Choose the shape using the decision tree below and read the matching reference file.
- Decide whether a component is justified. Prefer normal app code or a regular library if the feature does not need isolated tables, backend functions, or reusable persistent state.
- Make a short plan for:
- what tables the component owns
- what public functions it exposes
- what data must be passed in from the app (auth, env vars, parent IDs)
- what stays in the app as wrappers or HTTP mounts
- Create the component structure with
convex.config.ts,schema.ts, and function files. - Implement functions using the component's own
./_generated/serverimports, not the app's generated files. - Wire the component into the app with
app.use(...). If the app does not already haveconvex/convex.config.ts, create it. - Call the component from the app through
components.<name>usingctx.runQuery,ctx.runMutation, orctx.runAction. - If React clients, HTTP callers, or public APIs need access, create wrapper functions in the app instead of exposing component functions directly.
- Run
npx convex devand fix codegen, type, or boundary issues before finishing.
Choose the Shape
Ask the user, then pick one path:
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 289 lines · 95 tokens per session scan A 94dea6b33149
convex-create-component is a skill published in the GitHub repository ReScienceLab/TrySkills (2 stars, last pushed 3mo ago), licensed MIT. It adds 95 tokens to every session and 2,386 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to convex-create-component, differing in 101 lines, and is treated as a copy.
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