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bg-remover

Background removal utility — image in, transparent PNG out. Wraps Replicate-hosted models (851-labs/background-remover default; alternatives via --replicate-model). Use when: 'remove the background', 'cut out the subject', 'transparent PNG', 'убери фон', 'вырежи фон с фотки'.

Examiner la source Voir sur GitHub

Prix non confirmé★ 20 Stars GitHubRegistre mis à jour · 30 sept. 2026agent-skill

Vue d’ensemble

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Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

Remove the background from a photo. Single input image → output PNG with transparent (alpha channel) background. Subject preserved as-is; everything else becomes transparent.

This skill does NOT:

Replace the background with a new image — for that, use the transparent PNG output + paste into a new background in your image editor, OR use image-prompt --execute --model flux-kontext --image-url <photo> --prompt "subject in new setting" for full reimagining
Remove specific objects from a complex scene — only removes BACKGROUND (everything not the main subject)
Process video — single image only (per call)
Restore / upscale / sharpen — see future upscaler skill

ROLE

Read the input image → call a Replicate-hosted bg-removal model → save the transparent PNG.

PIPELINE

Resolve input:
- --image <path-or-url> (required)
- Local file or remote URL
Pick provider:
- Default: 851-labs/background-remover (popular, accurate on photos)
- Alternatives via --replicate-model <id>:
  - 851-labs/background-remover — default; best general
  - lucataco/remove-bg — alternative
  - cjwbw/rembg — Python rembg library hosted
  - pollinations/modnet — MODNet (good for portraits)
- Other Replicate bg-removers: pass via --replicate-model <slug>
Execute via the Replicate router (REPLICATE_API_TOKEN required).
Save:
- Default: ./generated/bg-removed/<input-stem>-nobg.png (transparent)
- Custom: --output <path>

MODES

Required

bg-remover --image <path-or-url>

Options

--output <path> — explicit output path
--replicate-model <id> — override default bg-remover model
--execute — defaults to true (this skill always executes; no prompt-only mode for a utility)
--yes — skip cost confirmation
--check — verify REPLICATE_API_TOKEN + connectivity

REFERENCES (load on demand)

File	When to load
references/providers.md	Replicate bg-removal model comparison + when to pick which
references/output-format.md	Transparent PNG handling, alpha channel, downstream usage
references/troubleshoot.md	When subject loses edges, hair gets cropped, etc.

EXAMPLES

See examples/before-after.md — 2 calibration runs: portrait photo → transparent for avatar use; product shot → transparent for e-commerce listing.

CONSTRAINTS

Single image per call. For batch: run in a shell loop.
Replicate API key required. Set via /skills-keys add REPLICATE_API_TOKEN r8_....
Cost: ~$0.001-0.005 per image depending on model. Very cheap.
Default model handles most photos well. Switch to pollinations/modnet for portraits if hair edges are critical.
Subject must be CLEARLY distinguishable from background. Models struggle with:
- Subjects that match background color
- Multiple subjects (picks one or merges)
- Transparent objects (glass / water)
- Hair against busy backgrounds (some loss of fine detail expected)
Output is always PNG with alpha channel. RGB → RGBA conversion automatic.
Source resolution preserved. Output dimensions match input.
No re-encoding to JPEG. Transparent backgrounds require PNG (or WebP) — JPEG doesn't support transparency.
Never print API keys.
Output dir is ./generated/bg-removed/ by default.

INVOCATION HINTS

When the user says any of:

"remove the background", "cut out the subject"
"transparent PNG", "no background version"
"убери фон", "вырежи фон с фотки", "сделай прозрачный фон"
"make the background transparent"

Defaults: --image <path> (required); auto-saves to ./generated/bg-removed/<stem>-nobg.png.

If the user wants to REPLACE the background (not just remove), suggest:

Use this skill to get a transparent PNG.
Then use image-prompt --execute --model flux-kontext --image-url <photo> for AI-driven replacement.
OR open the transparent PNG in an image editor and composite with a new background manually.

This skill is distinct from:

image-prompt / avatar-maker — they generate NEW images. This is a utility on EXISTING images.
subtitle-burner — that's video utility. This is image utility.
upscaler (planned) — that's resolution. This is background removal.

Voir la source ↗

Métadonnées du fichier

name: bg-remover
description: "Background removal utility — image in, transparent PNG out. Wraps Replicate-hosted models (851-labs/background-remover default; alternatives via --replicate-model). Use when: 'remove the background', 'cut out the subject', 'transparent PNG', 'убери фон', 'вырежи фон с фотки'."

license: MIT
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Grep
  - Glob

Voir le texte original

---
name: bg-remover
description: "Background removal utility — image in, transparent PNG out. Wraps Replicate-hosted models (851-labs/background-remover default; alternatives via --replicate-model). Use when: 'remove the background', 'cut out the subject', 'transparent PNG', 'убери фон', 'вырежи фон с фотки'."

license: MIT
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Grep
  - Glob
---

<objective>
Remove the background from a photo. Single input image → output PNG with transparent (alpha channel) background. Subject preserved as-is; everything else becomes transparent.

This skill does NOT:
- Replace the background with a new image — for that, use the transparent PNG output + paste into a new background in your image editor, OR use `image-prompt --execute --model flux-kontext --image-url <photo> --prompt "subject in new setting"` for full reimagining
- Remove specific objects from a complex scene — only removes BACKGROUND (everything not the main subject)
- Process video — single image only (per call)
- Restore / upscale / sharpen — see future `upscaler` skill
</objective>

## ROLE

Read the input image → call a Replicate-hosted bg-removal model → save the transparent PNG.

## PIPELINE

1. **Resolve input**:
   - `--image <path-or-url>` (required)
   - Local file or remote URL

2. **Pick provider**:
   - Default: `851-labs/background-remover` (popular, accurate on photos)
   - Alternatives via `--replicate-model <id>`:
     - `851-labs/background-remover` — default; best general
     - `lucataco/remove-bg` — alternative
     - `cjwbw/rembg` — Python `rembg` library hosted
     - `pollinations/modnet` — MODNet (good for portraits)
   - Other Replicate bg-removers: pass via `--replicate-model <slug>`

3. **Execute** via the Replicate router (REPLICATE_API_TOKEN required).

4. **Save**:
   - Default: `./generated/bg-removed/<input-stem>-nobg.png` (transparent)
   - Custom: `--output <path>`

## MODES

### Required

- `bg-remover --image <path-or-url>`

### Options

- `--output <path>` — explicit output path
- `--replicate-model <id>` — override default bg-remover model
- `--execute` — defaults to true (this skill always executes; no prompt-only mode for a utility)
- `--yes` — skip cost confirmation
- `--check` — verify REPLICATE_API_TOKEN + connectivity

## REFERENCES (load on demand)

| File | When to load |
|---|---|
| [references/providers.md](references/providers.md) | Replicate bg-removal model comparison + when to pick which |
| [references/output-format.md](references/output-format.md) | Transparent PNG handling, alpha channel, downstream usage |
| [references/troubleshoot.md](references/troubleshoot.md) | When subject loses edges, hair gets cropped, etc. |

## EXAMPLES

See [examples/before-after.md](examples/before-after.md) — 2 calibration runs: portrait photo → transparent for avatar use; product shot → transparent for e-commerce listing.

## CONSTRAINTS

- **Single image per call.** For batch: run in a shell loop.

- **Replicate API key required.** Set via `/skills-keys add REPLICATE_API_TOKEN r8_...`.

- **Cost**: ~$0.001-0.005 per image depending on model. Very cheap.

- **Default model handles most photos well.** Switch to `pollinations/modnet` for portraits if hair edges are critical.

- **Subject must be CLEARLY distinguishable from background.** Models struggle with:
  - Subjects that match background color
  - Multiple subjects (picks one or merges)
  - Transparent objects (glass / water)
  - Hair against busy backgrounds (some loss of fine detail expected)

- **Output is always PNG with alpha channel.** RGB → RGBA conversion automatic.

- **Source resolution preserved.** Output dimensions match input.

- **No re-encoding to JPEG.** Transparent backgrounds require PNG (or WebP) — JPEG doesn't support transparency.

- **Never print API keys.**

- **Output dir is `./generated/bg-removed/`** by default.

## INVOCATION HINTS

When the user says any of:

- "remove the background", "cut out the subject"
- "transparent PNG", "no background version"
- "убери фон", "вырежи фон с фотки", "сделай прозрачный фон"
- "make the background transparent"

Defaults: `--image <path>` (required); auto-saves to `./generated/bg-removed/<stem>-nobg.png`.

If the user wants to REPLACE the background (not just remove), suggest:
1. Use this skill to get a transparent PNG.
2. Then use `image-prompt --execute --model flux-kontext --image-url <photo>` for AI-driven replacement.
3. OR open the transparent PNG in an image editor and composite with a new background manually.

This skill is distinct from:
- `image-prompt` / `avatar-maker` — they generate NEW images. This is a utility on EXISTING images.
- `subtitle-burner` — that's video utility. This is image utility.
- `upscaler` (planned) — that's resolution. This is background removal.

Examiner la source

Prix et coûts d’utilisation

Obtenir le skill: Prix non confirmé
L’utiliser: Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence: MIT
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
SKILL.md does not document setup/installation steps for the `common.runners.cli.bg` module that `scripts/run.py` imports; the script itself refers to `install.sh`, but SKILL.md never mentions it.
The troubleshooting reference mentions a `--cost-only` option, but this flag is not listed in the SKILL.md options section, creating a minor documentation inconsistency.
The skill allows arbitrary `--replicate-model` slugs, which execute third-party code on Replicate; this risk is not explicitly called out in the security/trust guidance.
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 20 GitHub stars
Stars/forks activity: 20 stars, 1 forks; issue activity unavailable in current metadata

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéExaminé par IA

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: Mikefluff/skills
Licence: MIT
Version: Unknown
Dernier push GitHub: 27 sept. 2026
Registre mis à jour: 30 sept. 2026
Chemin des instructions: skills/bg-remover/SKILL.md @ 24bbcc2730da

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

60/100

Prometteur

Confiance

51/100

Do not auto-install

Audit

70/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
SKILL.md does not document setup/installation steps for the `common.runners.cli.bg` module that `scripts/run.py` imports; the script itself refers to `install.sh`, but SKILL.md never mentions it.
The troubleshooting reference mentions a `--cost-only` option, but this flag is not listed in the SKILL.md options section, creating a minor documentation inconsistency.
The skill allows arbitrary `--replicate-model` slugs, which execute third-party code on Replicate; this risk is not explicitly called out in the security/trust guidance.
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 20 GitHub stars
Stars/forks activity: 20 stars, 1 forks; issue activity unavailable in current metadata

Verified installs: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

Accès agent

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Plus de détails

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    "production agents without a repository review",
    "Low GitHub adoption signal",
    "SKILL.md does not document setup/installation steps for the `common.runners.cli.bg` module that `scripts/run.py` imports; the script itself refers to `install.sh`, but SKILL.md never mentions it.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision"
  ],
  "agent_contract": {
    "task_input": "Use bg-remover in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 59/100 Manual review",
      "Audit: 70/100 Needs review",
      "Safety: 30/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "mikefluff-bg-remover (bg-remover)",
      "install_command": "npx skills add Mikefluff/skills --skill bg-remover",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "mikefluff-bg-remover",
      "task": "Use bg-remover in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/mikefluff-bg-remover",
    "api": "https://www.openagentskill.com/api/agent/skills/mikefluff-bg-remover",
    "audit": "https://www.openagentskill.com/skills/mikefluff-bg-remover/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=mikefluff-bg-remover&task=Use%20bg-remover%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20bg-remover%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20bg-remover%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/mikefluff-bg-remover/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/mikefluff-bg-remover"
  }
}

Pour le créateur

Source de la fiche

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Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur: Mikefluff
Source: Mikefluff/skills
Indexé par: Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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Cette fiche Indexé par Registry est attribuée à Mikefluff, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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