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 Songhonglei/better-agent-skills --skill agent-avatar-managergit clone --depth 1 https://github.com/Songhonglei/better-agent-skillsWrote 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/songhonglei/better-agent-skills/agent-avatar-manager)<a href="https://agentmods.dev/skills/songhonglei/better-agent-skills/agent-avatar-manager"><img src="https://agentmods.dev/badge/skills/songhonglei/better-agent-skills/agent-avatar-manager/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/songhonglei/better-agent-skills/agent-avatar-manager"><img src="https://agentmods.dev/badge/skills/songhonglei/better-agent-skills/agent-avatar-manager.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00126 | $0.01652 |
| Opus 5 | $0.00063 | $0.00826 |
| Sonnet 5 | $0.00025 | $0.00330 |
| Haiku 4.5 | $0.00013 | $0.00165 |
Grade A, and why
agent-avatar-manager scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://api.freepik.com/v1/resources?locale=en&page=1&limit=10&order=relevance&term={QUERY}&filters%5Bcontent_type%5D%5Bvector%5D=1&filters%5Blicense%5D%5Bfree%5D=1" \ How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Avatar Manager
- Author: Evan Song · github.com/Songhonglei
- Repository: https://github.com/Songhonglei/better-agent-skills
- License: MIT
- Compatibility: OpenClaw only (uses
openclaw agents set-identity+IDENTITY.md/TOOLS.md)
Search vector avatars from Freepik, preview candidates, then replace your OpenClaw Agent's avatar in one flow. Also supports direct image/URL upload when you already have one.
Three ways to provide an image
A. User sends an image or URL (no API Key needed) The user sends an image file or image URL → jump straight to step 5.
B. Freepik API auto search (needs a free API Key)
Read the API key from TOOLS.md, field name Freepik API Key.
If found, run the search flow starting at step 2.
C. No API Key → guide the user
When TOOLS.md has no key and the user did not provide an image, prompt:
Two ways to change the avatar:
- Send an image directly: drop an image file or paste an image URL, I'll handle the rest
- Auto search: needs a free Freepik API Key
- Get one at https://www.freepik.com/developers/dashboard/api-key (free Freepik account required)
- Paste the key here and I'll save it for next time
Which do you prefer?
Flow
Step 1 — Read agent info
Read the current agent's IDENTITY.md and extract:
- Agent name (used for filenames, e.g.
Ashley) - Agent id (used by
openclaw agents set-identity, e.g.main,zhima) - Gender / style description (to build the search query)
Agent id inference:
- Running in
mainagent →main - Running in
zhimaagent →zhima - Ask the user if unsure
Step 2 — Build an English search term
Combine IDENTITY.md info + the user's description, translated to English.
High-quality query templates (use these first):
avatar professional woman cartoonbusinesswoman portrait vector flatfemale character office flat designavatar young man cartoon portraitmale character professional flat
What ships with it
2 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.
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 · 173 lines · 126 tokens per session scan A 7900781a2bc0
agent-avatar-manager is a skill published in the GitHub repository Songhonglei/better-agent-skills (3 stars, last pushed 4d ago), licensed MIT. It adds 126 tokens to every session and 1,652 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
pptx
A guide for turning a paper, outline, or structured text into a PowerPoint presentation. It covers an 8–12-slide structure, concise slide points, and generation of a .pptx file.
image-generation
Generate images from text prompts (and optionally edit/remix input images). Use when the user asks to create, generate, draw, render, or edit an image, illustration, logo, icon, diagram, or photo.
openai-image-gen
Batch-generate images via OpenAI Images API. Random prompt sampler + index.html gallery.
openai-whisper-api
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
image-gen
Generate images from text prompts via DashScope/Qwen. Use when creating, drawing, or illustrating images.
tts-voice
Convert text to natural speech audio. Uses Edge-TTS (free) or OpenAI TTS. Excellent Chinese voice support.