🔎 Evidence browser

Search the skill radar

Search by skill, publisher, category, or trust summary — then use the runtime filters to find cards with live test evidence. The two main lanes are baseline safety checks first and deeper follow-on functionality checks after that.

⚙️ Filters · 2 active
✨ Quick picks
🏷 Categories · coding-agents-and-ides

🧾 Evidence level: source-scanned means local source evidence; catalog-only means thinner metadata-first coverage.

🧪 Runtime status: cards can show only the baseline safety lane or the deeper follow-on functionality lane, depending on how far the skill got.

📏 Depth cue: tells you whether the evidence stops at baseline checks, includes follow-on functionality checks, or includes richer fixture/example proof.

⏱ Freshness cue: tells you whether the latest runtime evidence is from the last 24 hours, the last 7 days, or is older and therefore less current.

🩺 Failure confidence: distinguishes a first seen failure from a repeated failure or a regression after an earlier pass, so not every red row means the same thing.

Results

Showing 6 of 30 results for “github · category: coding-agents-and-ides · sort: relevance
This snapshot is for the current page of results, not the whole filtered universe.
Browse hint: slices with zero failures plus some source-scanned or reviewed entries deserve more attention first; fresh runtime evidence helps too, because old clean receipts can still hide current drift.

agentskills-io

killerapp · vsource-scanned
67
overall

Create, validate, and publish Agent Skills following the official open standard from agentskills.io. Use when (1) creating new skills for AI agents, (2) validating skill structure and metadata, (3) understanding the Agent Skills specification, (4) converting existing documentation into portable skills, or (5) ensuring cross-platform compatibility with Claude Code, Cursor, GitHub Copilot, and other tools.

Trustedconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found higher-privilege capability areas (token), but that alone is not evidence of malicious behavior.
Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.

fork-manager

glucksberg · vsource-scanned
57
overall

Manage forks with open PRs - sync upstream, rebase branches, track PR status, and maintain production branches with pending contributions. Supports automatic conflict resolution via --auto-resolve flag (spawns AI subagents to resolve rebase conflicts). Use when syncing forks, rebasing PR branches, building production branches that combine all open PRs, reviewing closed/rejected PRs, or managing local patches kept outside upstream. Requires Git and GitHub CLI (gh).

Insufficient Evidenceconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.
Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.

agentyard

gregm711 · vsource-scanned
41
overall

This skill enables agents to collaborate on AgentYard (agentyard.dev) - the world's first agent-only codebase. Use this skill when an agent wants to build, contribute, or collaborate on the AgentYard repository. Provides registration workflow, secure token storage, and GitHub operations (branches, PRs, issues, discussions). Triggers on "agentyard", "agent-only codebase", "collaborate with other agents", or requests to build on a shared agent repository.

Use Cautionconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found higher-privilege capability areas (token, email), but that alone is not evidence of malicious behavior.
Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.

frankenstein

rubenaquispe · vsource-scanned
48
overall

Combine the best parts of multiple skills into one. Searches ClawHub, GitHub, skills.sh, skillsmp.com and other AI skill repos. Analyzes each safely, compares features, and builds a combined 'Frankenstein' skill with the best of each. Uses skill-auditor for security scanning and sandwrap for safe analysis. Use when: (1) Multiple skills exist for same purpose, (2) Want best-of-breed combination, (3) Building a comprehensive skill from fragments.

Insufficient Evidenceconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found higher-privilege capability areas (token), but that alone is not evidence of malicious behavior.
Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.

guard-scanner

koatora20 · vsource-scanned
49
overall

Security scanner and runtime guard for AI agent skills. 358 static threat patterns across 35 categories + 27 runtime checks (5 defense layers). Use when scanning skill directories for security threats, auditing npm/GitHub/ClawHub assets for leaked credentials, running real-time file watch during development, integrating security checks into CI/CD pipelines (SARIF/JSON), setting up MCP server for editor-integrated scanning (Cursor, Windsurf, Claude Code, OpenClaw), or runtime guarding tool calls via the OpenClaw v2026.3.8 before_tool_call hook. Single dependency (ws). MIT licensed.

High Riskfollow-on functionality checks passed · 10/10confidence: source evidence
+ 2 more
source-scannedsuspicious
Runtime receipts + what passed2026-03-15 12:00 UTC
functionality-v2evidence depth: follow-on functionality checkstested recently: within 24 hourspassedoutput 195 Bartifacts 0worker oc-sandboxsource stage: cache hitsuite 3668 msbaseline-v3 8/8
RatioDaemon on this skillGuard Scanner is built for security scanner and runtime guard for AI agent skills. Functionality-v2 currently passes, the trust label is High Risk, and setup looks advanced.
Observed: skill-structure-ok
Take: Potentially suspicious implementation signals detected: eval(, rm -rf, sudo , password.
Decision cue: Proceed carefully — suspicious signals matter more than capability surface alone.

tpm-copilot

reighlan · vsource-scanned
66
overall

AI-powered operating system for Technical Program Managers and Project Managers. Pulls data from Jira, Linear, GitHub, and calendars to auto-generate status reports, track risks and blockers, manage meeting workflows, map dependencies, and deliver stakeholder dashboards. Use when: (1) generating status reports or program updates, (2) tracking risks, blockers, or stale tickets, (3) preparing meeting agendas or extracting action items, (4) mapping cross-team dependencies, (5) creating stakeholder dashboards, (6) monitoring sprint health or velocity, (7) writing executive summaries, or (8) automating any TPM/PM workflow.

Trustedconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found higher-privilege capability areas (token, email), but that alone is not evidence of malicious behavior.
Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.