Is higgsfield-soul-id safe to install?

SaferSkills independently audited higgsfield-soul-id (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

claude-code/plugins/higgsfield-local__higgsfield/skills/higgsfield-soul-id/SKILL.md · 1 file

claude-code/plugins/higgsfield-local__higgsfield/skills/higgsfield-soul-id/SKILL.md3.4 KB · Markdown

version: 0.3.0

name: higgsfield-soul-id

description: |

Train a Soul Character — a personalized model on a person's face that

Higgsfield uses for identity-faithful image and video generation.

Use when: "create my Soul", "train my face", "make my digital twin",

"build me an avatar", "learn my appearance", "create a character of me",

"set up identity for video", "I want my face in generated images".

Chain: train Soul (one-time, returns reference_id) → use in

higgsfield-generate via `--soul-id <id>` with models like

`text2image_soul_v2` or `soul_cinema_studio`.

NOT for: one-shot face swaps (use higgsfield-generate with --image),

named-character / non-photo avatars (use higgsfield-generate with prompt).

argument-hint: "[name] [photo paths...]"

allowed-tools: Bash

Higgsfield Soul Character

Train a face-faithful identity model. Reusable across all Soul-powered generations.

Step 0 — Bootstrap

Before any other command:

If higgsfield is not on $PATH, install it:

   curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh

If higgsfield account status fails with Session expired / Not authenticated, ask the user to run higgsfield auth login (interactive) and wait for confirmation.
Soul training requires a paid plan (Basic+). If higgsfield account status shows free plan, tell the user before submitting.

UX Rules

Be concise. No raw IDs in chat. Just say "Soul ready" with a name reference.
Detect language and respond in it. CLI flags stay English.
Ask for the smallest set of inputs: name + photos. Pick a sensible model variant.
Polling is silent — training takes minutes. Don't repeat status updates.

Workflow

Get name. One word, used for later reference. Ask if missing.
Get photos. 5–20 face photos, varied angles and lighting. Local paths or already-uploaded IDs both work — --image accepts either.
Pick variant.

--soul-2 — for image generation (default)
--soul-cinematic — for cinematic / video work

Choose based on user's stated downstream use. Default to --soul-2.

Submit.

   higgsfield soul-id create --name "<name>" --soul-2 --image ./photo1.png --image ./photo2.png ...
   higgsfield soul-id create --name "<name>" --soul-2 --image <upload_id> --image <upload_id> ...

CLI auto-uploads paths. Captures returned reference id.

Wait. higgsfield soul-id wait <id>. Silent. Default timeout 30m.
Deliver. "Soul <name> ready. Use in generate with --soul-id <id>."

Use the Soul

Once trained, pass to higgsfield-generate:

higgsfield generate create text2image_soul_v2 --prompt "..." --soul-id <ref_id> --quality 2k --wait
higgsfield generate create soul_cinematic --prompt "..." --soul-id <ref_id> --quality 2k --wait

Listing existing Souls

higgsfield soul-id list                   # all references
higgsfield soul-id get <id>               # one by id

Errors

Minimum Basic plan required — user is on free plan; tell them.
Training failed — check photos quality (5+ unique faces, well-lit).
Session expired → higgsfield auth login.

Reference docs

references/photo-guide.md — what photos work best
references/troubleshooting.md — common training failures

higgsfield-soul-id— agent skill

Is higgsfield-soul-id safe to install?

Higgsfield Soul Character

Step 0 — Bootstrap

UX Rules

Workflow

Use the Soul

Listing existing Souls

Errors

Reference docs

Audit the pieces. Scan the whole. Decide.