taOS: Skill for Claude Code

.claude/skills/taos-development-skill/SKILL.md

taos-development-skill is a skill for Claude Code from jaylfc/taOS. It costs 43 tokens per session (9,480 once invoked), scanned A, original, AGPL-3.0.

A skill containing procedures and architecture guidance for contributing to taOS. Its core rules are kept in a separate soul.md file.

In plain words
What is it for?
Use it when contributing code to taOS and when you need to follow its architecture or non-negotiable project rules.
Why use it?
It gives an AI coding agent the project-specific process and design context needed to make changes consistently.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is jaylfc/taOS's own configuration. It tells Claude Code how to work on taOS 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 taOS configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jaylfc/taOS. 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/jaylfc/taOS/master/.claude/skills/taos-development-skill/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/jaylfc/taOS

Made for: Claude Code.

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 taos-development-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/jaylfc/taos/taos-development-skill.svg)](https://agentmods.dev/skills/jaylfc/taos/taos-development-skill)
Your own site
<a href="https://agentmods.dev/skills/jaylfc/taos/taos-development-skill"><img src="https://agentmods.dev/badge/skills/jaylfc/taos/taos-development-skill.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,480 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 78
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • high Privilege Escalation · line 529
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 533
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Excessive Agency · line 95
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Rogue Agent · line 589
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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 $0.00043 $0.09480
Opus 5 $0.00022 $0.04740
Sonnet 5 $0.00009 $0.01896
Haiku 4.5 $0.00004 $0.00948

Measured 8d ago against content hash 5e40838b0fc4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

taos-development-skill 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 8d 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.

.claude/skills/taos-development-skill/SKILL.md · 664 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

1 file 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. 8d ago First seen · 664 lines · 43 tokens per session scan A 5e40838b0fc4

Subscribe to this mod's changes

taos-development-skill is a skill published in the GitHub repository jaylfc/taOS (518 stars, last pushed today), licensed AGPL-3.0. It adds 43 tokens to every session and 9,480 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

benchmarking

Use this skill when the user wants to benchmark an MLX-VLM change and present the numbers in a PR — fork-vs-main A/B comparisons, isolated-module micro-benchmarks, median-of-N timing with warmup, peak-memory reporting, correctness checks, parameter sweeps, and self-contained reproducible bench scripts to paste into a…

Blaizzy/mlx-vlm · 74 tokens

cli-inference

Use this skill when the user wants to run or debug MLX-VLM inference from the command line, including uv run mlxvlm.generate, image/audio/video inputs, local model paths, Hugging Face model IDs, deterministic repro commands, and CLI errors around processors, prompts, model loading, or missing weights.

Blaizzy/mlx-vlm · 67 tokens

server-inference

Use this skill when the user wants to run or debug MLX-VLM server inference, including uv run mlxvlm.server, /v1/models, /v1/chat/completions, /v1/responses, streaming, OpenAI-compatible clients, health checks, metrics, model unload/reload, adapters, trust-remote-code, and server request/response failures.

Blaizzy/mlx-vlm · 80 tokens

clip-hand-skill

Expert knowledge for AI video clipping — yt-dlp downloading, whisper transcription, SRT generation, and ffmpeg processing.

RightNow-AI/openfang · 28 tokens

twitter-hand-skill

Expert knowledge for AI Twitter/X management — API v2 reference, content strategy, engagement playbook, safety, and performance tracking.

RightNow-AI/openfang · 30 tokens

lead-hand-skill

Expert knowledge for AI lead generation — web research, enrichment, scoring, deduplication, and report generation.

RightNow-AI/openfang · 26 tokens