deprecated-Takomi_Code: Skill for Codex

.agent/skills/convex-agents/SKILL.md

convex-agents is a skill for Codex from JStaRFilms/deprecated-Takomi_Code. It costs 32 tokens per session (3,299 once invoked), scanned A, original, no licence file.

A development guide for building AI agents with Convex Agent, including conversations, tools, streamed replies, retrieval-augmented generation, and workflow coordination.

In plain words
What is it for?
It is for building Convex-based agents with thread management, tool integration, streaming, RAG, and orchestrated workflows.
Why use it?
It helps developers plan and implement the pieces needed for agents that remember threads, use tools, and retrieve information.

Skill for Codex

Written for Codex: agents/openai.yaml present.

This is JStaRFilms/deprecated-Takomi_Code's own configuration. It tells Codex how to work on deprecated-Takomi_Code itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything deprecated-Takomi_Code configures →

Reuse

Borrowing it

Nothing to install: this file belongs to JStaRFilms/deprecated-Takomi_Code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/JStaRFilms/deprecated-Takomi_Code/master/.agent/skills/convex-agents/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/JStaRFilms/deprecated-Takomi_Code

Made for: Codex.

Wrote 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.

agentmods badge for convex-agents

README.md
[![agentmods](https://agentmods.dev/badge/skills/jstarfilms/deprecated-takomi_code/convex-agents/github.svg)](https://agentmods.dev/skills/jstarfilms/deprecated-takomi_code/convex-agents)
Your own site
<a href="https://agentmods.dev/skills/jstarfilms/deprecated-takomi_code/convex-agents"><img src="https://agentmods.dev/badge/skills/jstarfilms/deprecated-takomi_code/convex-agents/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.

agentmods 80×15 button for convex-agents

Your own site · 80×15
<a href="https://agentmods.dev/skills/jstarfilms/deprecated-takomi_code/convex-agents"><img src="https://agentmods.dev/badge/skills/jstarfilms/deprecated-takomi_code/convex-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,299 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.03299
Opus 5.5 $0.00013 $0.01320
Sonnet 5.5 $0.00006 $0.00660
Haiku 4.5 $0.00003 $0.00330

Measured 2mo ago against content hash d23976c0dbe8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

convex-agents 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.

.agent/skills/convex-agents/SKILL.md · 517 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

3 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.

Changes

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.

  1. 2mo ago First seen · 517 lines · 32 tokens per session scan A d23976c0dbe8

Subscribe to this mod's changes

convex-agents is a skill published in the GitHub repository JStaRFilms/deprecated-Takomi_Code (3 stars, last pushed 22d ago), with no licence file. It adds 32 tokens to every session and 3,299 once invoked, about $0.0001 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.

Related

convex-agents compared with skills from other repositories

convex-agents next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
convex-agentsJStaRFilms/deprecated-Takomi_CodeSkill322d agononeA32Codex
convex-agentsJ-StaR-Films-Studios/VibeCode-Protocol-SuiteSkill2621d agoISCA32Codex
convex-agentswaynesutton/convexskillsSkill4059mo agoApache-2.0A32Claude Code, Codex
building-agentsericrisco/rsc-harnessSkill5032d agoMITA85Claude Code, Codex
rag-retrievalyonatangross/orchestkitSkill299yesterdayMITA58Claude Code
neurolink-guidejuspay/neurolinkSkill168yesterdayMITA65Claude Code
llamaindexznlgis/opengis-skillsSkill7610d agoMITA107Claude Code, Codex