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Install
$ agentstack add skill-ntaffzii-skill-agents-project-discovery ✓ 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.
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Project Discovery
Build a practical understanding of a project before proposing or making changes.
Workflow
- Identify the goal
- Determine whether the user needs an overview, architecture summary, stack analysis, risk assessment, implementation plan, migration direction, or onboarding notes.
- Inspect high-signal files
- Read
README.md, project instructions, package manifests, lockfiles, docs, architecture notes, CI config, test config, and main entry points. - Prefer actual files over guesses.
- Map the system
- Identify core modules, data flow, user-facing surfaces, external services, build commands, test commands, deployment hints, and local conventions.
- Note areas that need follow-up inspection instead of pretending certainty.
- Assess readiness
- Call out missing docs, unclear ownership, brittle tests, risky dependencies, weak validation, or hidden configuration.
- Keep recommendations incremental.
- Report
- Respond in the user's language.
- Link to files when possible.
- End with a practical next step.
Output Format
# Project Discovery
## What This Project Does
## Stack
## Important Files
## Architecture Notes
## Development Workflow
## Risks And Unknowns
## Recommended Next Steps
Rules
- Do not propose broad rewrites before understanding local patterns.
- Distinguish verified facts from assumptions.
- Keep the report useful for the next action, not encyclopedic.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ntaffzii
- Source: ntaffzii/Skill-Agents
- License: MIT
- Homepage: https://github.com/ntaffzii/ai-desk-tools
Install and usage instructions live in the source repository linked above.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.