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/homenshum/nodebenchai/dep-convex-agentnpx skills add HomenShum/NodeBenchAI --skill dep-convex-agentgit clone --depth 1 https://github.com/HomenShum/NodeBenchAIWrote 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/homenshum/nodebenchai/dep-convex-agent)<a href="https://agentmods.dev/skills/homenshum/nodebenchai/dep-convex-agent"><img src="https://agentmods.dev/badge/skills/homenshum/nodebenchai/dep-convex-agent.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 | $0.00072 | $0.01782 |
| Opus 5 | $0.00036 | $0.00891 |
| Sonnet 5 | $0.00014 | $0.00356 |
| Haiku 4.5 | $0.00007 | $0.00178 |
Grade A, and why
dep-convex-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 5d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@convex-dev/agent migration runbook
Last verified
- Working pin:
0.2.10(held since 2026-04-26) - Last attempted upgrade:
0.6.1(reverted same day in PR #150 — produced 422 typecheck errors)
Why we're pinned
@convex-dev/agent 0.6 is a coordinated v0.5 → v0.6 release that piggybacks on the AI SDK v5 → v6 major. It renames two property names on every tool definition (args → inputSchema, handler → execute) and changes the execute function signature from (ctx, args) to (ctx, input, options). We have ~12 files in convex/domains/agents/ that need the rewrite, plus coupled bumps to the entire AI SDK provider family.
When the convex-runtime group bumped this in PR #107 (admin-merged without CI), it silently broke main with 422 typecheck errors. Reverted in PR #150.
Coupled bumps (do all together or not at all)
"@convex-dev/agent": "^0.6.1",
"ai": "^6.0.35", // AI SDK core, currently ^5.0.71
"@ai-sdk/openai": "^3.0.10", // currently 1.x or 2.x
"@ai-sdk/anthropic": "^3.0.13",
"@ai-sdk/groq": "^3.0.8",
"@ai-sdk/google": "^3.0.8",
"@openrouter/ai-sdk-provider": "^2.0.0"
Other @convex-dev/* packages from PR #107 are independent of agent and may move separately:
@convex-dev/auth0.0.80 → 0.0.91 (small, may be safe)@convex-dev/persistent-text-streaming0.2 → 0.3@convex-dev/polar0.6 → 0.9@convex-dev/presence0.1 → 0.3 (component-API break)@convex-dev/rag0.5 → 0.7@convex-dev/twilio0.1 → 0.2@convex-dev/workflow0.2 → 0.3 (component-API break)@convex-dev/workpool0.2 → 0.4 (component-API break)
Recipe (when ready to migrate to v0.6)
Step 1 — Stage the bumps as one commit
npm install \
@convex-dev/agent@^0.6.1 \
ai@^6.0.35 \
@ai-sdk/openai@^3.0.10 \
@ai-sdk/anthropic@^3.0.13 \
@ai-sdk/groq@^3.0.8 \
@ai-sdk/google@^3.0.8 \
@openrouter/ai-sdk-provider@^2.0.0
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.
- 5d ago First seen · 146 lines · 72 tokens per session scan A f52cd2a88c99
dep-convex-agent is a skill published in the GitHub repository HomenShum/NodeBenchAI (14 stars, last pushed today), licensed MIT. It adds 72 tokens to every session and 1,782 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 2026-08-30.
Other skills, from other repositories
convex-agents
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration.
convex-agents
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Convex Agents
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration.
convex-agents
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration.
Convex Agents
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration.
foundry-config-setup
Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.