deep-sensor-scan
Run computational sensors (linter, type checker, coverage) inside or outside a deep-work session.
Skill by Sungmin-Cho
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sungmin-cho-deep-sensor-scan
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: testing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/deep-sensor-scan
What's inside
- Skill name
deep-sensor-scan- Description
- Run computational sensors (linter, type checker, coverage) inside or outside a deep-work session. Triggers on `/deep-sensor-scan`, "run sensors", "lint check", "type check", "coverage", "센서 실행", "린트 검사", "타입 검사". Flags: `--detect`, `--lint`, `--typecheck`, `--coverage`.
- License
- MIT
- Instructions
- 65 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
## Inputs (skill args)
| 인자 | 의미 |
|---|---|
| (없음) | Full sensor scan (detect + lint + typecheck + coverage) |
| `--detect` | Ecosystem detection 만 |
| `--lint` | Linter 만 |
| `--typecheck` | Type checker 만 |
| `--coverage` | Coverage 만 |
빈 args / 매칭되지 않는 토큰 → 본문의 default 분기로 진입.
## Prerequisites
# /deep-sensor-scan
Manual computational sensor scanning. Can be used inside or outside deep-work sessions.
## Usage
```
/deep-sensor-scan # Full sensor scan (detect + run all)
/deep-sensor-scan --detect # Show detected ecosystems only (no sensor execution)
/deep-sensor-scan --lint # Run linter only
/deep-sensor-scan --typecheck # Run type checker only
/deep-sensor-scan --coverage # Run coverage measurement only
```
## How It Works
### Step 1: Ecosystem Detection
Run detection engine:
```bash
node "${CLAUDE_PLUGIN_ROOT}/sensors/detect.js" "$PROJECT_ROOT"
```
Display detected ecosystems and tool availability. If `--detect` flag, stop here.
### Step 2: Sensor Execution
For each detected ecosystem with available tools, run sensors in order:
1. **Linter** (if available and not `--typecheck`/`--coverage` only):
```bash
node "${CLAUDE_PLUGIN_ROOT}/sensors/run-sensors.js" "<lint_cmd>" "<parser>" "lint" "required" 30
```
2. **Type checker** (if available and not `--lint`/`--coverage` only):
```bash
node "${CLAUDE_PLUGIN_ROOT}/sensors/run-sensors.js" "<typecheck_cmd>" "<parser>" "typecheck" "required" 60
```
3. **Coverage** (if available and not `--lint`/`--typecheck` only):
Run test command with coverage flag appended.
### Step 3: Results Display
Show results in a clear format:
- Per-sensor: status (pass/fail/not_installed/timeout), error count, warning count
- Per-error: file:line, rule, message, FIX suggestion
- Summary: total errors, total warnings, ecosystems scannedFrom Sungmin-Cho/deep-work, MIT.
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deep-receipt
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View, dashboard, or export deep-work slice receipts (`receipts/SLICE-*.json`).
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Cross-session deep-work history — completed sessions, TDD compliance rates, model usage, aggregate trend indicators.
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Plan-alignment verification — approved plan vs actual implementation, reporting unimplemented items, out-of-scope changes and design drift.
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Signals
- Stars
- 10
- Forks
- 2
- Open issues
- 1
- Last commit (this folder)
- Aug 13, 2026 (2 months ago)
- Last release
- Sep 20, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Sungmin-Cho/deep-work
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Sungmin-Cho
- 0.630score
deep-assumptions
Sungmin-Cho
Assumption health report — per-assumption Wilson Score confidence, verdict (justified / loosen / drop), model-aware split, decay history.
SkillAFreshness: A★ 10Claude Code +9 - 0.595score
deep-status
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Current deep-work session status — dashboard, badge, tree, or routing to the receipts / history / report / assumptions sub-pages.
SkillBFreshness: B★ 10Claude Code +9 - 0.594score
deep-resume
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Use when resuming an interrupted or parked deep-work session from its current phase.
SkillBFreshness: B★ 10Claude Code +9 - 0.594score
deep-finish
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Use when finishing an authorized deep-work session with keep, PR, merge or discard and a durable receipt.
SkillBFreshness: B★ 10Claude Code +9 - 0.590score
deep-insight
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Code-metrics, complexity and dependency report for a file/directory/glob — analysis only, never modifies code.
SkillBFreshness: B★ 10Claude Code +9 - 0.590score
deep-debug
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Debug sub-mode for Phase 3 — Investigate → Analyze → Hypothesize → Implement, with the iron rule that no fix ships before root-cause investigation.
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Cite this page
deep-sensor-scan skill. Agent Mart. https://agentmart.dev/skills/sungmin-cho-deep-sensor-scan (last updated 2026-10-24)