Claudebar
Repository: ClaudeBar
Author: tddworks · Source status: Clear source
A macOS menu bar application that monitors AI coding assistant usage quotas.
Score basis:Clear source · Low risk signals · Universal
Repository: codex-telegram-coding-assistant
Author: coleam00·Source status: Clear source
AI Coding assistant using Codex that integrates directly with Telegram.
Score basis:Clear source · Low risk signals · Universal
Trust level
64 · Review first
Usable, but inspect source, install method, and risk hints before adoption.
Risk decision
No explicit risk signals
No explicit risk signal is available.
Install readiness
script-backed · copy-only command
SkillTrust only shows install guidance and copy actions; it never executes installs.
Before you install
Review source, permissions, and execution risk first, then alternatives. Scores prioritize review; they do not replace manual judgment.
Review weakest dimensions and next actions before copying commands.
Evidence or risk signals are incomplete; compare alternatives first.
Audit grade
C · Review first
Execution risk
High
Evidence confidence
65%
SAS-v2.1 radar
SAS-v2.1
Audit grade
C · Review first
Execution risk
High
Top threats
unexpected code execution, data exfiltration
Control gaps
missing license, broad permissions
Evidence confidence
65%
Repository
coleam00/codex-telegram-coding-assistant
Author
coleam00
Community signal
54 stars · 23 forks
Last updated
2025-10-21
Primary source
coleam00/codex-telegram-coding-assistant
Source status
Clear source
Install method
script-backed
Command & code execution
34Focus: Whether it runs commands or scripts
Next action: Manually confirm command-running skills in an isolated directory.
High-risk action confirmation
38Focus: Whether destructive or external actions require confirmation
Next action: Avoid directly installing high-risk skills without confirmation controls.
Network & data egress
43Focus: Whether it may send data out
Next action: If unsure, restrict network access or allow only known domains.
Supported tools can change install steps; Universal entries need source review.
Explicitly supported
Candidate support (inferred)
Candidate tools are inferred signals, not official compatibility certifications.
git clone https://github.com/coleam00/codex-telegram-coding-assistant.gitNo explicit risk signals recorded
Review source and permissions before copying install commands.
Evidence or risk signals are incomplete; compare alternatives first.
Focus: Who published it and whether it is traceable
Next action: Review repository, author, and README first; do not install directly when source is pending.
Focus: Whether install steps can be reviewed
Next action: Prefer candidates with install docs and repository evidence.
Focus: Whether tool descriptions may hide instructions
Next action: Read README, rules, and tool descriptions before install.
Focus: What it can access
Next action: Grant only task-required permissions and prefer Ask/manual confirmation.
Focus: Whether it runs commands or scripts
Next action: Manually confirm command-running skills in an isolated directory.
Focus: Whether file reads/writes can escape scope
Next action: Check working directory and file access scope before running.
Focus: Whether it may send data out
Next action: If unsure, restrict network access or allow only known domains.
Focus: Whether it handles tokens, private keys, or agent identity
Next action: Do not provide long-lived tokens or private keys to source-pending skills.
Focus: Whether external content can steer behavior
Next action: For browser/RAG/rules skills, review permissions and confirmation controls first.
Focus: Whether memory or retrieved context can be poisoned
Next action: Try RAG/memory skills in a low-privilege environment first.
Focus: Whether external tools and MCP access are clearly bounded
Next action: Confirm which external tools it will connect to before install, and start with the smallest possible set.
Focus: Whether destructive or external actions require confirmation
Next action: Avoid directly installing high-risk skills without confirmation controls.
Focus: How far impact can spread when something goes wrong
Next action: If unsure, test in an isolated project first.
Focus: Whether actions can be traced
Next action: Prefer candidates with logs or previews.
Focus: Whether it is maintained and reusable
Next action: Check license and maintenance before organizational use.
Usable, but inspect source, install method, and risk hints before adoption.
Phase 1 only shows installation-aware, source-backed signals. SkillTrust does not execute install scripts for users.
Risk factors
No explicit risk signals.
Permission hints
repository clone, local runtime dependencies
Why related: Same task category, Keyword overlap...
Why related: Same task category, Keyword overlap, Similar install method
Repository: tool_calling_api
Author: Shuyib · Source status: Clear source
This project demonstrates function-calling with Python and Ollama, utilizing the Africa's Talking API to send airtime and messages to phone numbers using natural language prompts.
Score basis:Clear source · Low risk signals · Universal
Why related: Same task category, Keyword overlap...
Why related: Same task category, Keyword overlap, Similar install method
Repository: context-engineering-intro
Author: coleam00 · Source status: Clear source
Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work.
Score basis:Clear source · Risk needs review · Universal
Why related: Keyword overlap, Same repository ecosystem...
Why related: Keyword overlap, Same repository ecosystem, Same author
Repository: second-brain-starter
Author: coleam00 · Source status: Clear source
Build your own AI Second Brain with Claude Code - a skill that generates a personalized PRD for a proactive, persistent AI assistant
Score basis:Clear source · Risk needs review · Universal
Why related: Keyword overlap, Same repository ecosystem...
Why related: Keyword overlap, Same repository ecosystem, Same author
Repository: claude-memory-compiler
Author: coleam00 · Source status: Clear source
Give Claude Code a memory that evolves with your codebase.
Score basis:Clear source · Risk needs review · Universal
Why related: Keyword overlap, Same repository ecosystem...
Why related: Keyword overlap, Same repository ecosystem, Same author
Repository: adversarial-dev
Author: coleam00 · Source status: Clear source
GAN-inspired three-agent harness that pits a generator against an adversarial evaluator to build applications with quality gates at every step.
Score basis:Clear source · Risk needs review · Universal
Why related: Keyword overlap, Same repository ecosystem...
Why related: Keyword overlap, Same repository ecosystem, Same author
Repository: context-engineering-intro
Author: coleam00 · Source status: Clear source
Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work.
Score basis:Clear source · Risk needs review · Universal
Repository: second-brain-skills
Author: coleam00 · Source status: Clear source
A collection of Claude Skills to turn Claude Code into a Second Brain
Score basis:Clear source · Risk needs review · Universal
Repository: claude-memory-compiler
Author: coleam00 · Source status: Clear source
Give Claude Code a memory that evolves with your codebase.
Score basis:Clear source · Risk needs review · Universal
Repository: second-brain-starter
Author: coleam00 · Source status: Clear source
Build your own AI Second Brain with Claude Code - a skill that generates a personalized PRD for a proactive, persistent AI assistant
Score basis:Clear source · Risk needs review · Universal