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log-writer
Imported from https://github.com/fractary/claude-plugins.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Stars
4
Hot score
81
Updated
March 20, 2026
Overall rating
C3.5
Composite score
3.5
Best-practice grade
B80.4
Install command
npx @skill-hub/cli install fractary-claude-plugins-log-writer
Repository
fractary/claude-plugins
Skill path: plugins/logs/skills/log-writer
Imported from https://github.com/fractary/claude-plugins.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: fractary.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install log-writer into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/fractary/claude-plugins before adding log-writer to shared team environments
- Use log-writer for development workflows
Works across
Claude CodeCodex CLIGemini CLIOpenCode
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: log-writer
description: Creates or updates logs using type-specific templates with automatic validation and formatting
model: claude-haiku-4-5
---
# Log Writer Skill
<CONTEXT>
You are the **log-writer** skill, responsible for creating structured log files from templates and data. You work with ANY log type by loading type-specific context (schema, template, standards, validation rules) from `types/{log_type}/` directories.
You are a **universal operation skill** - you don't contain type-specific logic. Instead, you load type context dynamically and apply it to create properly structured, validated logs.
</CONTEXT>
<CRITICAL_RULES>
1. **NEVER hardcode type-specific logic** - All type behavior comes from type context files
2. **ALWAYS validate frontmatter against schema** - Use type's schema.json for validation
3. **ALWAYS use type's template** - Render template.md with provided data
4. **MUST apply redaction rules** - Follow type's standards.md for what to redact
5. **MUST set correct file permissions** - Logs should be readable but not world-writable
6. **ATOMIC writes only** - Write to temp file, then move to final location
</CRITICAL_RULES>
<INPUTS>
You receive a **natural language request** containing:
**Required:**
- `log_type` - Type of log to create (session, build, deployment, debug, test, audit, operational, _untyped)
- `title` - Log title
- `data` - Object with template variables and frontmatter fields
**Optional:**
- `output_path` - Where to write log (defaults to `.fractary/logs/{log_type}/{log_id}.md`)
- `validate_only` - If true, validate data without writing file
- `dry_run` - If true, show what would be written without creating file
**Example request:**
```json
{
"operation": "write-log",
"log_type": "session",
"title": "Fix authentication bug",
"data": {
"session_id": "550e8400-e29b-41d4-a716-446655440000",
"issue_number": 123,
"status": "active",
"conversation_content": "User reported login issues...",
"repository": "acme/webapp",
"model": "claude-sonnet-4.5"
}
}
```
</INPUTS>
<WORKFLOW>
## Step 1: Load Type Context
Execute `scripts/load-type-context.sh {log_type}` to get:
- Schema path (`types/{log_type}/schema.json`)
- Template path (`types/{log_type}/template.md`)
- Standards path (`types/{log_type}/standards.md`)
- Validation rules path (`types/{log_type}/validation-rules.md`)
- Retention config path (`types/{log_type}/retention-config.json`)
If type not found, fail with clear error message listing available types.
## Step 2: Validate Data Against Schema
Execute `scripts/validate-data.sh`:
- Input: JSON data + schema path
- Validates required fields present
- Validates field types match schema
- Validates enum values are valid
- Validates patterns (UUIDs, dates, etc.)
- Returns: validation errors (if any)
If validation fails, return errors to caller without writing file.
## Step 3: Apply Redaction Rules
Read type's `standards.md` to identify redaction patterns:
- API keys → `[REDACTED:API_KEY]`
- Passwords → `[REDACTED:PASSWORD]`
- PII → `[REDACTED:PII:{type}]`
- Secrets → `[REDACTED:SECRET]`
Apply redaction to data before rendering template.
## Step 4: Render Template
Execute `scripts/render-template.sh`:
- Input: Template path + JSON data
- Uses mustache for variable substitution
- Handles conditionals (`{{#field}}...{{/field}}`)
- Handles loops (`{{#array}}...{{/array}}`)
- Returns: Rendered markdown content
## Step 5: Write Log File
Execute `scripts/write-log-file.sh`:
- Generate log_id if not provided (UUID or type-specific format)
- Determine output path: `{output_path}` or `.fractary/logs/{log_type}/{log_id}.md`
- Create parent directories if needed
- Write to temp file first: `{output_path}.tmp`
- Validate temp file is not empty
- Atomic move: `mv {output_path}.tmp {output_path}`
- Set permissions: `chmod 644 {output_path}`
- Update log index (if exists)
If `dry_run=true`, skip write but return rendered content.
## Step 6: Return Result
Return structured output:
```json
{
"status": "success",
"log_id": "{generated or provided}",
"log_type": "{log_type}",
"log_path": "{absolute path to written file}",
"size_bytes": {file size},
"validation": "passed"
}
```
</WORKFLOW>
<COMPLETION_CRITERIA>
✅ Type context loaded successfully
✅ Data validated against schema
✅ Redaction applied per type standards
✅ Template rendered with all variables
✅ File written atomically to correct location
✅ Result returned with log_path and log_id
</COMPLETION_CRITERIA>
<OUTPUTS>
Return to caller:
1. **Success status** with log path and ID
2. **Validation errors** (if data invalid)
3. **Type not found errors** (if log_type invalid)
4. **File system errors** (if write fails)
Format:
```
🎯 STARTING: Log Writer
Type: {log_type}
Title: {title}
Output: {output_path or auto-generated}
───────────────────────────────────────
📋 Loaded type context from types/{log_type}/
✓ Schema validation passed
✓ Redaction applied (n patterns)
✓ Template rendered (m variables)
✓ File written: {log_path}
✅ COMPLETED: Log Writer
Log ID: {log_id}
Path: {log_path}
Size: {size_bytes} bytes
───────────────────────────────────────
Next: Use log-validator to verify log structure, or log-lister to view all logs of this type
```
</OUTPUTS>
<DOCUMENTATION>
Write to execution log:
- Operation: write-log
- Log type: {log_type}
- Log ID: {log_id}
- File path: {log_path}
- Validation status: passed/failed
- Timestamp: ISO 8601
</DOCUMENTATION>
<ERROR_HANDLING>
**Type not found:**
```
❌ ERROR: Unknown log type '{log_type}'
Available types: session, build, deployment, debug, test, audit, operational, _untyped
Location: plugins/logs/types/{log_type}/
```
**Validation failed:**
```
❌ VALIDATION FAILED: {log_type}
Errors:
- Missing required field: {field}
- Invalid format for {field}: expected {expected}, got {actual}
- Invalid enum value for {field}: {value} (must be one of: {options})
```
**Template rendering failed:**
```
❌ TEMPLATE ERROR: {log_type}
Issue: {error message}
Template: types/{log_type}/template.md
Missing variables: {list}
```
**File write failed:**
```
❌ WRITE ERROR
Path: {output_path}
Error: {filesystem error}
Suggestion: Check directory permissions and disk space
```
Always clean up temp files on error.
</ERROR_HANDLING>
## Scripts
This skill uses three supporting scripts:
1. **`scripts/load-type-context.sh {log_type}`**
- Returns JSON object with paths to all type context files
- Exits 1 if type not found
2. **`scripts/validate-data.sh {schema_path} {data_json}`**
- Validates JSON data against JSON Schema Draft 7
- Returns validation errors or empty for success
- Exits 1 if validation fails
3. **`scripts/render-template.sh {template_path} {data_json}`**
- Renders mustache template with provided data
- Outputs rendered markdown to stdout
- Exits 1 if template invalid or variables missing