Pearls
C+ 72 completed
Cli Tool
unknown / go · small
75
Files
10,792
LOC
0
Frameworks
4
Languages
Pipeline State
completedRun ID
#306045Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
42.47Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47332
Member of a group with 1 similar repo(s) — canonical #92402 view group →
Top concepts (8)
Project DescriptionDocumentationinfrastructuretestingFile ManagementConfigurationSearchTesting
Same scanner, your repo: https://repobility.com — Repobility
🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
storage.DB.EmbeddingCountRetrieves the total number of records stored in the embedding table. It takes no arguments and returns an integer representing the count along with an error if the database query fails. The function executes a SQL COUNT query against the "pearl_embeddings" table within the underlying database connec
storage.DB.HasEmbeddingChecks for the existence of an embedding record associated with a given pearl ID. It accepts a string representing the pearl's ID as input and returns a boolean indicating presence and an error. The function queries the database by first finding the row ID from the pearls table using the provided ID
storage.DB.ClearEmbeddingsDeletes all records from the embedded embeddings table within the database connection. It takes no inputs and returns an error if the deletion query fails, otherwise it returns nil. This operation modifies the database state by emptying the specified table.
AI Prompt
Build me a command-line interface (CLI) tool, similar to Pearls, written in Go. This tool should allow AI agents to store, search, and inject knowledge into their sessions. Key features to include are: creating "pearls" of knowledge, which must be markdown-native and support hierarchical namespaces (e.g., `db.postgres.users`). It needs to support semantic search using local embeddings, and also handle "push-based context" by accepting glob patterns and scopes. Additionally, implement functionality to auto-generate pearls from live databases like Postgres, MySQL, or SQLite, and include a command to validate the catalog's integrity.
go cli ai-agent knowledge-base markdown semantic-search database-introspection command-line
Generated by gemma4:latest
Catalog Information
Pearls is a CLI tool that helps AI agents store, search, and inject knowledge into their sessions by cataloging relevant information as searchable markdown.
Description
Pearls is a command-line interface (CLI) tool designed for storing, searching, and injecting knowledge into AI agent sessions. It allows users to create and manage 'pearls' - searchable markdown content that can be used to provide context to AI agents. Pearls supports various features such as semantic search, push-based context injection, and database introspection.
الوصف
هو أداة CLI مصممة لتحفيز وتحسين الذكاء الاصطناعي من خلال تخزين وتصفية المعرفة في جلساتها. يمكن للمستخدمين إنشاء وإدارة 'الجواهر' - المحتوى المكتوب باللغة الإنجليزية الذي يمكن استخدامه لتوفير السياق للذكاء الاصطناعي. تتيح أداة الجواهر العديد من الميزات مثل البحث التاملي، وتنفيذ السياق بناءً على المسارات، وتحليل قواعد البيانات.
Novelty
7/10Tags
semantic-search context-injection knowledge-management ai-agents cli-tool
Claude Models
claude-opus-4.5 claude-opus-4.6
Quality Score
C+
71.7/100
Structure
74
Code Quality
62
Documentation
55
Testing
75
Practices
80
Security
100
Dependencies
70
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (41% test-to-source ratio)
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- 641 duplicate lines detected \u2014 consider DRY refactoring
Recommendations
- Add a linter configuration to enforce code style consistency
Security & Health
7.1h
Tech Debt (B)
Medium
DORA Rating
A
OWASP (100%)
Repobility · severity-and-effort ranking · https://repobility.com
PASS
Quality Gate
A
Risk (2)
MIT
License
5.7%
Duplication
Languages
Frameworks
None detected
Symbols
function99
method85
constant27
struct25
variable7
interface3
type_alias2
Concepts (8)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Repobility — same analyzer, your code, free for public repos · /scan/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Semantic context injection for AI agents. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Documentation | docs | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | infrastructure | Detected infrastructure layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | testing | Detected testing layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | File Management | Detected from 7 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Configuration | Detected from 3 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Search | Detected from 2 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Testing | Detected from 22 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Source: Repobility analyzer · https://repobility.com
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