Creator · Shubhamsaboo
Last updated · Sep 1, 2026
>-
Sandbox only
Creator · Shubhamsaboo
Last updated · Sep 1, 2026
>-
Sandbox only
Creator · Shubhamsaboo
Last updated · Sep 1, 2026
>-
Sandbox only
Creator · Shubhamsaboo
Last updated · Sep 1, 2026
>-
Sandbox only
Install targets
Codex install prompt
Install the "scope-creep-detector" agent skill from https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/scope-creep-detector. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: >- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"shubhamsaboo-scope-creep-detector","task":"Install scope-creep-detector","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Maintenance
fresh
6d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
136K
96/100 Quality · 72/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
136K GitHub stars
Repo activity
136K stars, 20K forks
Maintenance
6d since push
License
Apache-2.0
Install
npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detectorDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20scope-creep-detector%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20scope-creep-detector%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/shubhamsaboo-scope-creep-detector/install
Agent should check
Copy prompt
Task: Use scope-creep-detector in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20scope-creep-detector%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/shubhamsaboo-scope-creep-detector/install
Install command: npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/shubhamsaboo-scope-creep-detector/install
LLM text format
/api/skills/shubhamsaboo-scope-creep-detector/install?format=text
Find alternatives
/api/skills/search?q=scope-creep-detector&limit=3
Agent prompt
Use scope-creep-detector for this task. Review https://www.openagentskill.com/api/skills/shubhamsaboo-scope-creep-detector/install, then install with: npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detectorRegistry metadata
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.
Manifest
/api/registry/manifest/shubhamsaboo-scope-creep-detector
LLM text
/api/registry/manifest/shubhamsaboo-scope-creep-detector?format=text
Install alias
/api/registry/install/shubhamsaboo-scope-creep-detector
Recommend
/api/registry/recommend?task=Use%20scope-creep-detector%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS136K GitHub stars
Stars/forks activity
PASS136K stars, 20K forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: scope-creep-detector description: >- Analyzes git diffs against a stated intent to detect scope creep, unrelated files, broad pull requests, changes that grew beyond a fix, dependency additions, public API renames, config or CI edits, oversized hunks, and formatting-only files. Use when the user asks whether a change grew beyond the fix, a PR is too broad, or what unrelated stuff they touched, and wants keep, split, or justify guidance. Operates locally and offline. license: Apache-2.0 metadata: author: "Matt Van Horn" version: "1.0.0" source: "https://github.com/Shubhamsaboo/awesome-llm-apps" ---
# Scope Creep Detector
A one-line fix should not require a reviewer to reverse-engineer fourteen files across three subsystems. This skill compares a git diff with its stated intent, surfaces scope signals, and turns them into keep, split, or justify decisions.
Everything runs locally. The script makes no network calls and does not change the working tree, index, commits, or branches.
## When to use
- Before opening a pull request whose diff may have grown beyond its intent - When a bug fix touches unexpected files or subsystems - When the user asks whether staged changes are too broad - When a diff includes dependency, public API, config, CI, or build changes - When the user wants a concrete split plan for a mixed change
## When not to use
- Formatting code, running a linter, or writing a commit message - Reviewing correctness, security, or test quality inside an agreed scope - Measuring historical project growth across many commits - Editing or reverting files without the user's approval
## Establish the intent
Use the user's one-line intent when available. Keep it concrete, such as `fix null dereference in parser` or `add retry limit to webhook delivery`.
If no intent was given, the script falls back to the current branch name. If that name is generic, detached, or unrelated to the work, ask for one line of intent before treating relatedness as meaningful.
## Run the classifier
Run from this skill directory and point `--repo` at the target repository.
Working tree diff:
```bash python3 scripts/scope_creep.py --repo /path/to/repo \ --intent "fix null dereference in parser" --json ```
Staged diff:
```bash python3 scripts/scope_creep.py --repo /path/to/repo --staged \ --intent "fix null dereference in parser" --json ```
Branch diff against a merge base:
```bash python3 scripts/scope_creep.py --repo /path/to/repo --base main \ --intent "fix null dereference in parser" --json ```
Saved diff or stdin:
```bash python3 scripts/scope_creep.py --diff change.diff --intent "parser fix" --json git diff --staged | python3 scripts/scope_creep.py --diff - \ --intent "parser fix" --json ```
Use `--hunk-threshold` only when the repository has a documented reason to change the default churn threshold. Do not tune the threshold merely to make a warning disappear.
## Interpret the JSON
Read [references/scope-signals.md](references/scope-signals.md) before making a recommendation. Treat the classifier as triage evidence, not proof of authorial intent.
- `in_scope`: file paths with at least one intent/path keyword overlap - `likely_creep`: paths without overlap, with the reason and detected signals - `new_deps`: dependencies introduced in supported manifest formats - `api_renames`: nearby removed and added public function or class declarations - `config_edits`: CI, container, build, YAML, and TOML changes - `stats`: churn, subsystem counts, oversized hunks, and formatting-only files
Empty arrays are evidence too. Say that no signal was detected, not that the diff is guaranteed to be in scope.
## Recommend keep, split, or justify
Give every item in `likely_creep` one disposition:
1. **Keep** when the path is necessary for the stated intent and the connection is direct. Explain the connection in one sentence. 2. **Split** when it can land independently, belongs to another subsystem, or introduces a dependency, API rename, config edit, or large hunk that is not required for the intent. Name the files or hunks for the follow-up change. 3. **Justify** when a cross-cutting edit cannot be separated safely. State the invariant or build constraint that requires it and call out reviewer risk.
Prefer split when evidence is ambiguous. Never claim that a zero overlap score proves a file is unrelated. Path vocabulary is a cheap, deterministic proxy.
## Write the scope report
Use this compact structure:
1. Intent and diff source 2. Files and subsystems touched, with total additions and deletions 3. In-scope changes 4. Likely creep with signal evidence 5. Keep, split, or justify table 6. Proposed follow-up grouping, if any
Name file paths and hunk headers. For an oversized mixed hunk, explain that the script cannot split it automatically and describe the smallest coherent edit. Ask before applying any split, revert, staging, or commit operation.
## Files
- `scripts/scope_creep.py`: deterministic unified-diff parser and classifier - `references/scope-signals.md`: signal definitions, thresholds, and limits
Source provenance
Decision snapshot
135,595 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for scope-creep-detector, ready for a manual X post.
For a repeatable workflow, this is a skill worth shortlisting before another blank prompt. scope-creep-detector: >- 135.6K stars https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=x
Listing + install path for scope-creep-detector: https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=x Install: npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Shubhamsaboo but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector/audit)
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Shubhamsaboo
@shubhamsaboo
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsInstall targets
Codex install prompt
Install the "scope-creep-detector" agent skill from https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/scope-creep-detector. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: >- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"shubhamsaboo-scope-creep-detector","task":"Install scope-creep-detector","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Maintenance
fresh
6d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
136K
96/100 Quality · 72/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
136K GitHub stars
Repo activity
136K stars, 20K forks
Maintenance
6d since push
License
Apache-2.0
Install
npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detectorDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20scope-creep-detector%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20scope-creep-detector%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/shubhamsaboo-scope-creep-detector/install
Agent should check
Copy prompt
Task: Use scope-creep-detector in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20scope-creep-detector%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/shubhamsaboo-scope-creep-detector/install
Install command: npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/shubhamsaboo-scope-creep-detector/install
LLM text format
/api/skills/shubhamsaboo-scope-creep-detector/install?format=text
Find alternatives
/api/skills/search?q=scope-creep-detector&limit=3
Agent prompt
Use scope-creep-detector for this task. Review https://www.openagentskill.com/api/skills/shubhamsaboo-scope-creep-detector/install, then install with: npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detectorRegistry metadata
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.
Manifest
/api/registry/manifest/shubhamsaboo-scope-creep-detector
LLM text
/api/registry/manifest/shubhamsaboo-scope-creep-detector?format=text
Install alias
/api/registry/install/shubhamsaboo-scope-creep-detector
Recommend
/api/registry/recommend?task=Use%20scope-creep-detector%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS136K GitHub stars
Stars/forks activity
PASS136K stars, 20K forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: scope-creep-detector description: >- Analyzes git diffs against a stated intent to detect scope creep, unrelated files, broad pull requests, changes that grew beyond a fix, dependency additions, public API renames, config or CI edits, oversized hunks, and formatting-only files. Use when the user asks whether a change grew beyond the fix, a PR is too broad, or what unrelated stuff they touched, and wants keep, split, or justify guidance. Operates locally and offline. license: Apache-2.0 metadata: author: "Matt Van Horn" version: "1.0.0" source: "https://github.com/Shubhamsaboo/awesome-llm-apps" ---
# Scope Creep Detector
A one-line fix should not require a reviewer to reverse-engineer fourteen files across three subsystems. This skill compares a git diff with its stated intent, surfaces scope signals, and turns them into keep, split, or justify decisions.
Everything runs locally. The script makes no network calls and does not change the working tree, index, commits, or branches.
## When to use
- Before opening a pull request whose diff may have grown beyond its intent - When a bug fix touches unexpected files or subsystems - When the user asks whether staged changes are too broad - When a diff includes dependency, public API, config, CI, or build changes - When the user wants a concrete split plan for a mixed change
## When not to use
- Formatting code, running a linter, or writing a commit message - Reviewing correctness, security, or test quality inside an agreed scope - Measuring historical project growth across many commits - Editing or reverting files without the user's approval
## Establish the intent
Use the user's one-line intent when available. Keep it concrete, such as `fix null dereference in parser` or `add retry limit to webhook delivery`.
If no intent was given, the script falls back to the current branch name. If that name is generic, detached, or unrelated to the work, ask for one line of intent before treating relatedness as meaningful.
## Run the classifier
Run from this skill directory and point `--repo` at the target repository.
Working tree diff:
```bash python3 scripts/scope_creep.py --repo /path/to/repo \ --intent "fix null dereference in parser" --json ```
Staged diff:
```bash python3 scripts/scope_creep.py --repo /path/to/repo --staged \ --intent "fix null dereference in parser" --json ```
Branch diff against a merge base:
```bash python3 scripts/scope_creep.py --repo /path/to/repo --base main \ --intent "fix null dereference in parser" --json ```
Saved diff or stdin:
```bash python3 scripts/scope_creep.py --diff change.diff --intent "parser fix" --json git diff --staged | python3 scripts/scope_creep.py --diff - \ --intent "parser fix" --json ```
Use `--hunk-threshold` only when the repository has a documented reason to change the default churn threshold. Do not tune the threshold merely to make a warning disappear.
## Interpret the JSON
Read [references/scope-signals.md](references/scope-signals.md) before making a recommendation. Treat the classifier as triage evidence, not proof of authorial intent.
- `in_scope`: file paths with at least one intent/path keyword overlap - `likely_creep`: paths without overlap, with the reason and detected signals - `new_deps`: dependencies introduced in supported manifest formats - `api_renames`: nearby removed and added public function or class declarations - `config_edits`: CI, container, build, YAML, and TOML changes - `stats`: churn, subsystem counts, oversized hunks, and formatting-only files
Empty arrays are evidence too. Say that no signal was detected, not that the diff is guaranteed to be in scope.
## Recommend keep, split, or justify
Give every item in `likely_creep` one disposition:
1. **Keep** when the path is necessary for the stated intent and the connection is direct. Explain the connection in one sentence. 2. **Split** when it can land independently, belongs to another subsystem, or introduces a dependency, API rename, config edit, or large hunk that is not required for the intent. Name the files or hunks for the follow-up change. 3. **Justify** when a cross-cutting edit cannot be separated safely. State the invariant or build constraint that requires it and call out reviewer risk.
Prefer split when evidence is ambiguous. Never claim that a zero overlap score proves a file is unrelated. Path vocabulary is a cheap, deterministic proxy.
## Write the scope report
Use this compact structure:
1. Intent and diff source 2. Files and subsystems touched, with total additions and deletions 3. In-scope changes 4. Likely creep with signal evidence 5. Keep, split, or justify table 6. Proposed follow-up grouping, if any
Name file paths and hunk headers. For an oversized mixed hunk, explain that the script cannot split it automatically and describe the smallest coherent edit. Ask before applying any split, revert, staging, or commit operation.
## Files
- `scripts/scope_creep.py`: deterministic unified-diff parser and classifier - `references/scope-signals.md`: signal definitions, thresholds, and limits
Source provenance
Decision snapshot
135,595 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for scope-creep-detector, ready for a manual X post.
For a repeatable workflow, this is a skill worth shortlisting before another blank prompt. scope-creep-detector: >- 135.6K stars https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=x
Listing + install path for scope-creep-detector: https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=x Install: npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Shubhamsaboo but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector/audit)
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Shubhamsaboo
@shubhamsaboo
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsInstall targets
Codex install prompt
Install the "scope-creep-detector" agent skill from https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/scope-creep-detector. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: >- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"shubhamsaboo-scope-creep-detector","task":"Install scope-creep-detector","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Maintenance
fresh
6d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
136K
96/100 Quality · 72/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
136K GitHub stars
Repo activity
136K stars, 20K forks
Maintenance
6d since push
License
Apache-2.0
Install
npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detectorDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20scope-creep-detector%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20scope-creep-detector%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/shubhamsaboo-scope-creep-detector/install
Agent should check
Copy prompt
Task: Use scope-creep-detector in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20scope-creep-detector%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/shubhamsaboo-scope-creep-detector/install
Install command: npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/shubhamsaboo-scope-creep-detector/install
LLM text format
/api/skills/shubhamsaboo-scope-creep-detector/install?format=text
Find alternatives
/api/skills/search?q=scope-creep-detector&limit=3
Agent prompt
Use scope-creep-detector for this task. Review https://www.openagentskill.com/api/skills/shubhamsaboo-scope-creep-detector/install, then install with: npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detectorRegistry metadata
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.
Manifest
/api/registry/manifest/shubhamsaboo-scope-creep-detector
LLM text
/api/registry/manifest/shubhamsaboo-scope-creep-detector?format=text
Install alias
/api/registry/install/shubhamsaboo-scope-creep-detector
Recommend
/api/registry/recommend?task=Use%20scope-creep-detector%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS136K GitHub stars
Stars/forks activity
PASS136K stars, 20K forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: scope-creep-detector description: >- Analyzes git diffs against a stated intent to detect scope creep, unrelated files, broad pull requests, changes that grew beyond a fix, dependency additions, public API renames, config or CI edits, oversized hunks, and formatting-only files. Use when the user asks whether a change grew beyond the fix, a PR is too broad, or what unrelated stuff they touched, and wants keep, split, or justify guidance. Operates locally and offline. license: Apache-2.0 metadata: author: "Matt Van Horn" version: "1.0.0" source: "https://github.com/Shubhamsaboo/awesome-llm-apps" ---
# Scope Creep Detector
A one-line fix should not require a reviewer to reverse-engineer fourteen files across three subsystems. This skill compares a git diff with its stated intent, surfaces scope signals, and turns them into keep, split, or justify decisions.
Everything runs locally. The script makes no network calls and does not change the working tree, index, commits, or branches.
## When to use
- Before opening a pull request whose diff may have grown beyond its intent - When a bug fix touches unexpected files or subsystems - When the user asks whether staged changes are too broad - When a diff includes dependency, public API, config, CI, or build changes - When the user wants a concrete split plan for a mixed change
## When not to use
- Formatting code, running a linter, or writing a commit message - Reviewing correctness, security, or test quality inside an agreed scope - Measuring historical project growth across many commits - Editing or reverting files without the user's approval
## Establish the intent
Use the user's one-line intent when available. Keep it concrete, such as `fix null dereference in parser` or `add retry limit to webhook delivery`.
If no intent was given, the script falls back to the current branch name. If that name is generic, detached, or unrelated to the work, ask for one line of intent before treating relatedness as meaningful.
## Run the classifier
Run from this skill directory and point `--repo` at the target repository.
Working tree diff:
```bash python3 scripts/scope_creep.py --repo /path/to/repo \ --intent "fix null dereference in parser" --json ```
Staged diff:
```bash python3 scripts/scope_creep.py --repo /path/to/repo --staged \ --intent "fix null dereference in parser" --json ```
Branch diff against a merge base:
```bash python3 scripts/scope_creep.py --repo /path/to/repo --base main \ --intent "fix null dereference in parser" --json ```
Saved diff or stdin:
```bash python3 scripts/scope_creep.py --diff change.diff --intent "parser fix" --json git diff --staged | python3 scripts/scope_creep.py --diff - \ --intent "parser fix" --json ```
Use `--hunk-threshold` only when the repository has a documented reason to change the default churn threshold. Do not tune the threshold merely to make a warning disappear.
## Interpret the JSON
Read [references/scope-signals.md](references/scope-signals.md) before making a recommendation. Treat the classifier as triage evidence, not proof of authorial intent.
- `in_scope`: file paths with at least one intent/path keyword overlap - `likely_creep`: paths without overlap, with the reason and detected signals - `new_deps`: dependencies introduced in supported manifest formats - `api_renames`: nearby removed and added public function or class declarations - `config_edits`: CI, container, build, YAML, and TOML changes - `stats`: churn, subsystem counts, oversized hunks, and formatting-only files
Empty arrays are evidence too. Say that no signal was detected, not that the diff is guaranteed to be in scope.
## Recommend keep, split, or justify
Give every item in `likely_creep` one disposition:
1. **Keep** when the path is necessary for the stated intent and the connection is direct. Explain the connection in one sentence. 2. **Split** when it can land independently, belongs to another subsystem, or introduces a dependency, API rename, config edit, or large hunk that is not required for the intent. Name the files or hunks for the follow-up change. 3. **Justify** when a cross-cutting edit cannot be separated safely. State the invariant or build constraint that requires it and call out reviewer risk.
Prefer split when evidence is ambiguous. Never claim that a zero overlap score proves a file is unrelated. Path vocabulary is a cheap, deterministic proxy.
## Write the scope report
Use this compact structure:
1. Intent and diff source 2. Files and subsystems touched, with total additions and deletions 3. In-scope changes 4. Likely creep with signal evidence 5. Keep, split, or justify table 6. Proposed follow-up grouping, if any
Name file paths and hunk headers. For an oversized mixed hunk, explain that the script cannot split it automatically and describe the smallest coherent edit. Ask before applying any split, revert, staging, or commit operation.
## Files
- `scripts/scope_creep.py`: deterministic unified-diff parser and classifier - `references/scope-signals.md`: signal definitions, thresholds, and limits
Source provenance
Decision snapshot
135,595 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for scope-creep-detector, ready for a manual X post.
For a repeatable workflow, this is a skill worth shortlisting before another blank prompt. scope-creep-detector: >- 135.6K stars https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=x
Listing + install path for scope-creep-detector: https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=x Install: npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to Shubhamsaboo but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector/audit)
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Shubhamsaboo
@shubhamsaboo
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsInstall targets
Codex install prompt
Install the "scope-creep-detector" agent skill from https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/scope-creep-detector. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: >- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"shubhamsaboo-scope-creep-detector","task":"Install scope-creep-detector","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Maintenance
fresh
6d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
136K
96/100 Quality · 72/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
136K GitHub stars
Repo activity
136K stars, 20K forks
Maintenance
6d since push
License
Apache-2.0
Install
npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detectorDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20scope-creep-detector%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20scope-creep-detector%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/shubhamsaboo-scope-creep-detector/install
Agent should check
Copy prompt
Task: Use scope-creep-detector in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20scope-creep-detector%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/shubhamsaboo-scope-creep-detector/install
Install command: npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/shubhamsaboo-scope-creep-detector/install
LLM text format
/api/skills/shubhamsaboo-scope-creep-detector/install?format=text
Find alternatives
/api/skills/search?q=scope-creep-detector&limit=3
Agent prompt
Use scope-creep-detector for this task. Review https://www.openagentskill.com/api/skills/shubhamsaboo-scope-creep-detector/install, then install with: npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detectorRegistry metadata
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.
Manifest
/api/registry/manifest/shubhamsaboo-scope-creep-detector
LLM text
/api/registry/manifest/shubhamsaboo-scope-creep-detector?format=text
Install alias
/api/registry/install/shubhamsaboo-scope-creep-detector
Recommend
/api/registry/recommend?task=Use%20scope-creep-detector%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS136K GitHub stars
Stars/forks activity
PASS136K stars, 20K forks; issue activity unavailable in current metadata
Recent maintenance
PASS6d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: scope-creep-detector description: >- Analyzes git diffs against a stated intent to detect scope creep, unrelated files, broad pull requests, changes that grew beyond a fix, dependency additions, public API renames, config or CI edits, oversized hunks, and formatting-only files. Use when the user asks whether a change grew beyond the fix, a PR is too broad, or what unrelated stuff they touched, and wants keep, split, or justify guidance. Operates locally and offline. license: Apache-2.0 metadata: author: "Matt Van Horn" version: "1.0.0" source: "https://github.com/Shubhamsaboo/awesome-llm-apps" ---
# Scope Creep Detector
A one-line fix should not require a reviewer to reverse-engineer fourteen files across three subsystems. This skill compares a git diff with its stated intent, surfaces scope signals, and turns them into keep, split, or justify decisions.
Everything runs locally. The script makes no network calls and does not change the working tree, index, commits, or branches.
## When to use
- Before opening a pull request whose diff may have grown beyond its intent - When a bug fix touches unexpected files or subsystems - When the user asks whether staged changes are too broad - When a diff includes dependency, public API, config, CI, or build changes - When the user wants a concrete split plan for a mixed change
## When not to use
- Formatting code, running a linter, or writing a commit message - Reviewing correctness, security, or test quality inside an agreed scope - Measuring historical project growth across many commits - Editing or reverting files without the user's approval
## Establish the intent
Use the user's one-line intent when available. Keep it concrete, such as `fix null dereference in parser` or `add retry limit to webhook delivery`.
If no intent was given, the script falls back to the current branch name. If that name is generic, detached, or unrelated to the work, ask for one line of intent before treating relatedness as meaningful.
## Run the classifier
Run from this skill directory and point `--repo` at the target repository.
Working tree diff:
```bash python3 scripts/scope_creep.py --repo /path/to/repo \ --intent "fix null dereference in parser" --json ```
Staged diff:
```bash python3 scripts/scope_creep.py --repo /path/to/repo --staged \ --intent "fix null dereference in parser" --json ```
Branch diff against a merge base:
```bash python3 scripts/scope_creep.py --repo /path/to/repo --base main \ --intent "fix null dereference in parser" --json ```
Saved diff or stdin:
```bash python3 scripts/scope_creep.py --diff change.diff --intent "parser fix" --json git diff --staged | python3 scripts/scope_creep.py --diff - \ --intent "parser fix" --json ```
Use `--hunk-threshold` only when the repository has a documented reason to change the default churn threshold. Do not tune the threshold merely to make a warning disappear.
## Interpret the JSON
Read [references/scope-signals.md](references/scope-signals.md) before making a recommendation. Treat the classifier as triage evidence, not proof of authorial intent.
- `in_scope`: file paths with at least one intent/path keyword overlap - `likely_creep`: paths without overlap, with the reason and detected signals - `new_deps`: dependencies introduced in supported manifest formats - `api_renames`: nearby removed and added public function or class declarations - `config_edits`: CI, container, build, YAML, and TOML changes - `stats`: churn, subsystem counts, oversized hunks, and formatting-only files
Empty arrays are evidence too. Say that no signal was detected, not that the diff is guaranteed to be in scope.
## Recommend keep, split, or justify
Give every item in `likely_creep` one disposition:
1. **Keep** when the path is necessary for the stated intent and the connection is direct. Explain the connection in one sentence. 2. **Split** when it can land independently, belongs to another subsystem, or introduces a dependency, API rename, config edit, or large hunk that is not required for the intent. Name the files or hunks for the follow-up change. 3. **Justify** when a cross-cutting edit cannot be separated safely. State the invariant or build constraint that requires it and call out reviewer risk.
Prefer split when evidence is ambiguous. Never claim that a zero overlap score proves a file is unrelated. Path vocabulary is a cheap, deterministic proxy.
## Write the scope report
Use this compact structure:
1. Intent and diff source 2. Files and subsystems touched, with total additions and deletions 3. In-scope changes 4. Likely creep with signal evidence 5. Keep, split, or justify table 6. Proposed follow-up grouping, if any
Name file paths and hunk headers. For an oversized mixed hunk, explain that the script cannot split it automatically and describe the smallest coherent edit. Ask before applying any split, revert, staging, or commit operation.
## Files
- `scripts/scope_creep.py`: deterministic unified-diff parser and classifier - `references/scope-signals.md`: signal definitions, thresholds, and limits
Source provenance
Decision snapshot
135,595 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for scope-creep-detector, ready for a manual X post.
For a repeatable workflow, this is a skill worth shortlisting before another blank prompt. scope-creep-detector: >- 135.6K stars https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=x
Listing + install path for scope-creep-detector: https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=x Install: npx skills add Shubhamsaboo/awesome-llm-apps --skill scope-creep-detector
Listing source
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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Creator backlink kit
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[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector/audit)
[](https://www.openagentskill.com/skills/shubhamsaboo-scope-creep-detector?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Shubhamsaboo
@shubhamsaboo
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Sandbox only
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24.7K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Thin public metadata
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Thin public metadata
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Thin public metadata
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Thin public metadata
Risk summary
Install readiness