Registry indexed

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'.

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Price unconfirmed★ 20 GitHub starsRegistry updated · Sep 30, 2026agent-skill

Overview

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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.

View source ↗

File metadata

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

View original text

---
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.

Review the source

Price & running costs

Get the skill: Price unconfirmed
Run it: Requirements have not been confirmed. Check the source for agent, API and service charges.
License: MIT
Price unconfirmed: We have not confirmed a price for this skill. Existing source and install links remain available.

Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: 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

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

IndexedAI Reviewed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: Mikefluff/skills
License: MIT
Version: Unknown
Last GitHub push: Sep 27, 2026
Registry updated: Sep 30, 2026
Instruction path: skills/bg-remover/SKILL.md @ 24bbcc2730da

Version reported in registry metadata; check source releases before relying on it.

Quality

60/100

Promising

Trust

51/100

Do not auto-install

Audit

70/100

Needs review

Open full audit View eval report

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: —
Outcomes: —

Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

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More details

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      "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."
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    "expected_outcomes": [
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      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
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    "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"
  }
}

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Creator: Mikefluff
Source: Mikefluff/skills
Indexed by: OpenAgentSkill community index

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Mikefluff

Registry indexed

bg-remover

Review the source View on GitHub

Price unconfirmed★ 20 GitHub starsRegistry updated · Sep 30, 2026agent-skill

Overview

Read full documentation

Source documentation, not instructions for this website. Review permissions before running any commands.

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.

View source ↗

File metadata

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

View original text

---
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.

Review the source

Price & running costs

Get the skill: Price unconfirmed
Run it: Requirements have not been confirmed. Check the source for agent, API and service charges.
License: MIT
Price unconfirmed: We have not confirmed a price for this skill. Existing source and install links remain available.

Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: 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

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

IndexedAI Reviewed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: Mikefluff/skills
License: MIT
Version: Unknown
Last GitHub push: Sep 27, 2026
Registry updated: Sep 30, 2026
Instruction path: skills/bg-remover/SKILL.md @ 24bbcc2730da

Version reported in registry metadata; check source releases before relying on it.

Quality

60/100

Promising

Trust

51/100

Do not auto-install

Audit

70/100

Needs review

Open full audit View eval report

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: —
Outcomes: —

Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.

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This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "design-creative",
      "agent-skill"
    ],
    "known_risks": [
      "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.",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Low GitHub adoption signal",
      "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",
      "Dependency/runtime risk: command execution surface, credential or environment access"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 70,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "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."
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 60,
    "label": "Promising"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "6d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "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"
  }
}

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Creator: Mikefluff
Source: Mikefluff/skills
Indexed by: OpenAgentSkill community index

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Registry indexed

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Overview

ROLE

PIPELINE

MODES

Required

Options

REFERENCES (load on demand)

EXAMPLES

CONSTRAINTS

INVOCATION HINTS

Review the source

Price & running costs

Start with one small task

Source & usage notes

Agent access

Related skills

For the creator

Registry indexed

Claim this skill listing

Add the evidence badges to your README

Community signal