Borrowing it
Nothing to install: this file belongs to AbdelStark/worldforge. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/AbdelStark/worldforge/main/.codex/skills/tui-development/SKILL.mdgit clone --depth 1 https://github.com/AbdelStark/worldforgeWrote 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/abdelstark/worldforge/tui-development)<a href="https://agentmods.dev/skills/abdelstark/worldforge/tui-development"><img src="https://agentmods.dev/badge/skills/abdelstark/worldforge/tui-development/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/abdelstark/worldforge/tui-development"><img src="https://agentmods.dev/badge/skills/abdelstark/worldforge/tui-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00063 | $0.00693 |
| Opus 5.5 | $0.00025 | $0.00277 |
| Sonnet 5.5 | $0.00013 | $0.00139 |
| Haiku 4.5 | $0.00006 | $0.00069 |
Grade A, and why
tui-development 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TUI Development
Architecture Boundary
src/worldforge/harness/robotics_launch.py: launcher and host-owned viewer helpers.src/worldforge/harness/robotics_view.py: Textual-free robotics report model and constants.src/worldforge/harness/robotics_tui_rendering.py: pure Rich renderable builders for panes.src/worldforge/harness/tui.py: robotics-showcase-only Textual import surface.src/worldforge/harness/tui_styles.pyandtui_robotics_styles.py: Textual CSS constants.
Never import Textual from worldforge.__init__, worldforge.cli, or non-TUI harness modules.
Robotics TUI Engineering Contract
- Treat the robotics showcase as a testable report renderer first and a Textual screen second.
- Keep robotics summaries and screen state JSON-native so evidence can move between CLI, tests, screenshots, and docs.
- Keep long-running optional runtime work behind explicit commands; UI state should report progress and failure without hiding the underlying exception context.
- The removed world-creation/provider/eval/benchmark harness screens must not come back through this skill. Use CLI/docs surfaces for those workflows.
Workflow
- Read
robotics_view.py,robotics_tui_rendering.py,robotics_launch.py, andtui.pybefore touching TUI modules. - Keep all Textual imports inside
harness/tui.py. - Keep report rendering pure and deterministic outside Textual so tests can run without the
harnessextra. - Update the relevant tests:
test_robotics_tui_rendering.py,test_robotics_showcase.py,test_robotics_showcase_scripts.py, or focused harness report tests. - Update screenshots only when UI behavior or documented visual state changed.
- Validate with focused robotics tests, optional-import boundary checks, and the
--extra harnesscoverage gate when behavior changes.
Definition Of Done
- Robotics report rendering works without the
harnessextra. - Changed robotics UI behavior is covered at the pure-rendering level before TUI-specific tests.
- Textual imports remain isolated and optional-import boundary checks pass when imports moved.
- Snapshot or screenshot updates are intentional and tied to verified behavior.
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.
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 · 59 lines · 63 tokens per session scan A 7733ebf40a9d
tui-development is a skill published in the GitHub repository AbdelStark/worldforge (108 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 693 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
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sensing
React to passive device events tagged [sensing:...] — presence, sound, light, fire hazard — with inline emotion markers and optional short speech. Does NOT handle motion.activity (→ wellbeing) or emotion.detected / speechemotion.detected (→ user-emotion-detection).
environment
Interpret environmental sensor readings and sustained changes for room comfort and air quality. Use for [environment:initial] greeting context, [environment:update] events, questions about room temperature, humidity, measured CO2 or air quality, checking changes after ventilation or air cleaning, and room-feeling…
emotion
Express emotion through coordinated servo + LED + display eyes on EVERY conversational response. This is the PRIMARY response skill that makes the device feel alive. Do NOT use for ambiance lighting (use Scene) or custom LED colors (use LED Control).
guard
Guard mode for security monitoring. Two uses — (1) Toggle on/off when a friend says "guard mode", "watch the house", "I'm going out", or similar. (2) Handle any sensing event that carries a [guard-active] tag (e.g. [sensing:presence.enter][guard-active], [sensing:motion][guard-active]) with dramatic shock/curious…
led-control
Control the device's RGB light when the user asks for a SPECIFIC color (e.g. "yellow", "red", "yellow", "red", "turn on color X", "enable X light"), an LED effect, or turning LEDs off. Do NOT use for ambiance/activity lighting (use Scene) or emotion expression (use Emotion).