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 skills add CUHK-AIM-Group/NeuroClaw --skill beautiful-loggit clone --depth 1 https://github.com/CUHK-AIM-Group/NeuroClawWrote 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/cuhk-aim-group/neuroclaw/beautiful-log)<a href="https://agentmods.dev/skills/cuhk-aim-group/neuroclaw/beautiful-log"><img src="https://agentmods.dev/badge/skills/cuhk-aim-group/neuroclaw/beautiful-log/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/cuhk-aim-group/neuroclaw/beautiful-log"><img src="https://agentmods.dev/badge/skills/cuhk-aim-group/neuroclaw/beautiful-log.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 | $0.00061 | $0.00613 |
| Opus 5 | $0.00030 | $0.00307 |
| Sonnet 5 | $0.00012 | $0.00123 |
| Haiku 4.5 | $0.00006 | $0.00061 |
Grade A, and why
beautiful-log 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 11d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Beautiful Log (Dialogue-to-HTML)
Overview
beautiful-log converts a conversation transcript into a clean, shareable HTML report.
It is designed for research logging and progress tracking, while removing noisy execution traces.
This skill:
- Keeps only direct dialogue between User and NeuroClaw.
- Filters out tool/system/internal content (for example: tool calls, file-read traces, SKILL.md parsing notes, hidden reasoning traces).
- Renders a polished HTML page with different background colors for User and NeuroClaw messages.
- Preserves message order and basic formatting (line breaks, code blocks as plain text).
When to Call This Skill
- A task is finished and the user wants a readable conversation archive.
- The user asks for an exportable discussion record.
- Weekly or daily research summary requires clean chat evidence.
Core Workflow (Never Bypassed)
- Receive input transcript file path (JSON, JSONL, or simple Markdown text export).
- Parse and normalize messages to a unified schema:
role,content,timestamp(optional). - Keep only
userandassistant/neuroclawroles. - Remove internal/tool/system traces.
- Generate HTML cards:
- User: warm light background card.
- NeuroClaw: cool light background card.
- Save output HTML to user-specified location.
- Return summary: kept messages, filtered messages, output path.
Input / Output
- Input: conversation export file (recommended JSON/JSONL).
- Output: standalone HTML file (no external assets required).
Recommended Script
Use:
scripts/beautiful_log.py
Example:
python skills/beautiful-log/scripts/beautiful_log.py \
--input logs/session_2026-04-05.jsonl \
--output logs/session_2026-04-05_beautiful.html \
--title "NeuroClaw Session Log"
Safety and Data Rules
- Do not include hidden reasoning or tool internals in final export.
- Keep only direct dialogue content.
- If sensitive information appears in user messages, recommend manual redaction before sharing externally.
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.
- 11d ago First seen · 65 lines · 61 tokens per session scan A 78763ec824b2
beautiful-log is a skill published in the GitHub repository CUHK-AIM-Group/NeuroClaw (84 stars, last pushed 5d ago), licensed MIT. It adds 61 tokens to every session and 613 once invoked, about $0.0003 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.
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