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 S3YED/appie-kit --skill higgsfield-imagegit clone --depth 1 https://github.com/S3YED/appie-kitWrote 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/s3yed/appie-kit/higgsfield-image)<a href="https://agentmods.dev/skills/s3yed/appie-kit/higgsfield-image"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/higgsfield-image/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/s3yed/appie-kit/higgsfield-image"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/higgsfield-image.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 | $0.00055 | $0.01766 |
| Opus 5 | $0.00028 | $0.00883 |
| Sonnet 5 | $0.00011 | $0.00353 |
| Haiku 4.5 | $0.00006 | $0.00177 |
Grade A, and why
higgsfield-image 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 9d 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 "IMAGE_URL" -o ./generated_image.png How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Higgsfield Image Generation
Auth System (CRITICAL — two separate auth mechanisms)
Higgsfield has TWO auth systems. generate_image requires OAuth tokens, NOT the API key.
| Credential | Type | Used For | Location |
|---|---|---|---|
HIGGSFIELD_API_KEY_ID + HIGGSFIELD_API_KEY_SECRET |
API Key pair | tools/list, balance (read-only) |
~/.openclaw/workspace/config/mcporter.json under higgsfield.env |
| OAuth Bearer token (from Clerk) | OAuth session | generate_image, generate_video, show_characters (write ops) |
~/.mcporter/credentials.json under higgsfield|fb7b405dd99c24b1 |
The API key pair does NOT work for generate_image. That tool requires a valid Clerk OAuth access token.
Quick Reference
Tool: mcporter call higgsfield.generate_image
Model: nano_banana_2 (Nano Banana Pro, 4K quality)
Auth: OAuth Bearer token from mcporter credentials
Generate an Image
mcporter call higgsfield.generate_image params='{"model":"nano_banana_2","prompt":"YOUR PROMPT","aspect_ratio":"4:5"}'
With Reference Image (Character Consistency)
mcporter call higgsfield.generate_image params='{"model":"nano_banana_2","prompt":"YOUR PROMPT...same woman as reference...","aspect_ratio":"4:5","medias":[{"value":"https://URL-TO-REFERENCE-IMAGE.PNG","role":"image"}]}'
IMPORTANT: Use value (not url) for the media reference.
OAuth Token Refresh
If generate_image returns "Invalid or expired token", the OAuth session has expired:
mcporter auth higgsfield --reset
This opens a browser for Clerk OAuth login and stores new tokens in ~/.mcporter/credentials.json.
Token status check:
cat ~/.mcporter/credentials.json | python3 -c "
import json,sys
d=json.load(sys.stdin)
e=d['entries'].get('higgsfield|fb7b405dd99c24b1',{})
print('Has tokens:', 'tokens' in e and bool(e.get('tokens')))
print('Updated:', e.get('updatedAt'))
"
Check Generation Status
mcporter call higgsfield.show_generations type="image" size=5
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.
- 9d ago First seen · 163 lines · 55 tokens per session scan A 8e4b606393c4
higgsfield-image is a skill published in the GitHub repository S3YED/appie-kit (9 stars, last pushed 17d ago), licensed MIT. It adds 55 tokens to every session and 1,766 once invoked, about $0.0003 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 2026-09-03.
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