Install
$ agentstack add skill-giggsoinc-raven-tools-landscape ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Tools Landscape
Andie's tool and product registry. Read registry.json alongside this skill.
When to Load
Load this skill during pre-flight when the session involves:
- Choosing between tools or platforms
- Evaluating a new tool for adoption
- Comparing open source vs commercial options
- Recommending a stack for a new project
- Migrating from one tool to another
How to Use registry.json
- Detect the category from the user's domain (see routing below)
- Load relevant category entries from registry.json
- Present top 3 candidates with tradeoffs — not a wall of options
- State why each is relevant to this specific problem
- Flag staleness if
last_updatedis older than 90 days
Staleness check — always run at load time:
registry.json last_updated: [date]
Today: [date]
Age: [N] days
If age > 90:
⚠️ Tools registry is [N] days old. The landscape may have shifted.
Key areas to verify manually: LLM pricing · new vector DB entrants · cloud service updates
Category Routing
| Domain signal | Categories to load | |---|---| | AI / LLM / agents / chatbot | llm · llm_infra · vector_db | | Data / analytics / pipelines | streaming · databases · bigdata | | Infrastructure / cloud | cloud · orchestration · iac · monitoring | | Security / secrets | secrets · auth · monitoring | | Search / retrieval | search · vector_db | | DevOps / CI/CD | cicd · orchestration · monitoring | | Full stack app | databases · caching · auth · cicd | | Open source / self-hosted | filter open_source: true across all categories |
Presentation Format
Always present as:
Tool options for [category] — [problem context]
RECOMMENDED: [Tool Name]
Why for this problem: [1 sentence specific to their context]
Strengths: [2-3 bullets]
Watch out for: [1-2 bullets]
Pricing: [tier]
ALSO CONSIDER:
[Tool 2] — [one-line tradeoff vs recommended]
[Tool 3] — [one-line tradeoff vs recommended]
SKIP UNLESS:
[Tool 4] — only if [specific condition]
Open source alternative: [name] — [one line]
Comparison Rules
- Never recommend more than 3 tools without a clear differentiator
- Always include one open source option if one exists
- Always state the "when NOT to use this" for the top recommendation
- For LLMs: always include cost-per-token context relative to use case volume
- For managed vs self-hosted: always state ops burden difference
Update Protocol
When the registry is stale or a new tool emerges mid-session:
⚠️ [Tool name] may have updated since this registry was last checked.
Recommend verifying: [specific thing to check — pricing / API / benchmark]
To update: edit registry.json, bump last_updated, run bundle.sh.
Part of Andie v4.0 — tools-landscape skill
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: giggsoinc
- Source: giggsoinc/raven
- License: MIT
- Homepage: https://github.com/giggsoinc/raven
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.