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SKILL verified MIT Self-run

Learning Codebases

skill-eijnewgnaw-learning-codebases-learning-codebases · by Eijnewgnaw

Use when the user wants to learn, understand, study, map, onboard to, or walk through an unfamiliar codebase or software project, especially when explanations should suit a beginner with basic Python knowledge.

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Install

$ agentstack add skill-eijnewgnaw-learning-codebases-learning-codebases

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

Verified badge

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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 →
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About

Learning Codebases

Build a durable mental model from real code. Optimize for the smallest evidence set that supports the learner's next useful insight.

Start

Identify the learner's immediate goal: project overview, one feature flow, one file, running the project, preparing a change, or interview review. Ask one question only when the goal is genuinely ambiguous; otherwise begin in Standard mode.

Default to read-only inspection. Do not modify the target project merely to explain it.

For a first pass over a repository, read references/repository-analysis.md. Reuse its verified map while the repository revision is unchanged.

Depth and Context Budget

  • Quick: purpose, active entry, one input-process-output path, and unknowns.
  • Standard (default): compact project compass, one evidence-backed flow, essential beginner concepts, and one checkpoint.
  • Deep: alternatives, tests, error paths, runtime checks, and additional subsystems.

Inventory cheaply, rank relevant files, then read the minimum evidence needed for the current learning unit. Expand one evidence or dependency hop only for a deeper user goal, conflicting evidence, or an unsupported conclusion.

Never save tokens by guessing. Mark insufficient evidence as unknown and name the next check. Stop when the current question is supported, a useful next step is clear, and more reading is unlikely to change the conclusion.

Teaching Loop

Use:

explain briefly -> ask one prediction -> inspect real code -> verify -> ask for one restatement

Do not force every stage when the user requests a quick factual answer. When unfamiliar syntax, architecture, another language, or learner confusion appears, read references/beginner-teaching.md.

Evidence Contract

Label claims when the distinction matters:

  • Code-confirmed
  • Runtime-confirmed
  • Documented
  • Inferred
  • Unknown

Anchor important claims to real paths and symbols. Never imply a runtime check occurred unless it was executed in the current session.

Outputs

Prefer one useful learning unit over an exhaustive report. When producing a project compass, tour stop, checkpoint, session summary, or optional learning record, read references/lesson-templates.md.

Do not repeat an established map unless it changed or the learner asks for a recap.

Safety

Keep private source, secrets, customer data, and internal identifiers out of web queries and third-party uploads. Do not create learning files without permission. Treat dependency installation, repository changes, production access, and other external actions as separate tasks requiring user scope.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

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.