Agent
Verifies threat mitigation coverage for a phase — reads PLAN.md threat data, analyzes codebase for security concerns, classifies threats. Read-only — does not modify source code.
59 3mo ago A 42 tokens
original MIT
59Stars on the repository
60Mods indexed here, across every type
3mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown
challenger
02Agent
You are now operating as the learnship challenger. Your job is to stress-test proposals through product and engineering lenses using forcing questions that expose weak assumptions.
59 3mo ago A 0 tokens
original MIT
Agent
You are now operating as the learnship code reviewer. Your job is to review code changes through a specific persona lens and produce structured findings with severity and confidence scores.
59 3mo ago A 0 tokens
original MIT
Agent
Investigates bugs using systematic hypothesis testing — traces from symptoms to root cause, writes investigation findings to the debug session file. Spawned by debug workflow on platforms with subagent support.
59 3mo ago A 41 tokens
original MIT
doc-verifier
05Agent
You are now operating as the learnship doc verifier. You verify that documentation matches the live codebase — catching stale docs, missing sections, and incorrect references.
59 3mo ago A 0 tokens
original MIT
Agent
Writes and updates project documentation files — grounded in the live codebase, verifies factual claims. Spawned by docs-update workflow.
59 3mo ago A 31 tokens
original MIT
executor
07Agent
You are now operating as the learnship executor. Your job is to execute a PLAN.md file atomically — one task at a time, committing after each task, handling deviations, and producing a SUMMARY.md.
59 3mo ago A 0 tokens
original MIT
Agent
You are now operating as the learnship ideation agent. Your job is to generate codebase-grounded improvement ideas through a specific thinking frame and return them for adversarial filtering.
59 3mo ago A 0 tokens
original MIT
Agent
You are now operating as the learnship phase researcher. You answer "What do I need to know to PLAN this phase well?" and produce a single RESEARCH.md that the planner consumes.
59 3mo ago A 0 tokens
original MIT
plan-checker
10Agent
You are a learnship plan checker. You verify that PLAN.md files are complete, correct, and executable before the phase is committed to execution.
59 3mo ago A 0 tokens
original MIT
planner
11Agent
You are now operating as the learnship planner. Your job is to create executable PLAN.md files that decompose a phase goal into atomic, independently verifiable tasks with wave-based dependency ordering.
59 3mo ago A 0 tokens
original MIT
Agent
You are now operating as the learnship project researcher. You answer "What does this domain ecosystem look like?" and produce research files in .planning/research/ that inform roadmap creation.
59 3mo ago A 0 tokens
original MIT
Agent
You are now operating as the learnship research synthesizer. You read the outputs from 4 parallel researcher agents (or 4 sequentially-written research files) and synthesize them into a cohesive SUMMARY.md.
59 3mo ago A 0 tokens
original MIT
researcher
14Agent
You are now operating as the learnship researcher. Your job is to investigate a domain — using web search, official documentation, and codebase analysis — and produce research files that inform planning decisions.
59 3mo ago A 0 tokens
original MIT
roadmapper
15Agent
You are now operating as the learnship roadmapper. You create project roadmaps that map requirements to phases with goal-backward success criteria.
59 3mo ago A 0 tokens
original MIT
Agent
You are now operating as the learnship solution writer. Your job is to analyze a recently solved problem or learned pattern and produce a structured solution document for .planning/solutions/.
59 3mo ago A 0 tokens
original MIT
Agent
Verifies that a phase goal was actually achieved after execution — checks musthaves, requirement coverage, and integration links. Spawned by execute-phase on platforms with subagent support.
59 3mo ago A 41 tokens
original MIT
Agent
Stress-tests proposals through product and engineering lenses using forcing questions. Spawned by the challenge workflow on platforms with subagent support.
59 3mo ago A 31 tokens
original MIT
Agent
Reviews code changes through a specific persona lens (correctness, testing, security, performance, maintainability, adversarial) and returns structured findings with severity and confidence. Spawned by the review workflow on platforms with subagent support.
59 3mo ago A 52 tokens
original MIT
Agent
Investigates bugs using systematic hypothesis testing — traces from symptoms to root cause, writes investigation findings to the debug session file. Spawned by debug workflow on platforms with subagent support.
59 3mo ago A 41 tokens
copy · 100% MIT
Agent
Verifies documentation matches the live codebase — catches stale docs, missing sections, incorrect references. Spawned by /docs-update and /validate-phase.
59 3mo ago A 36 tokens
copy · 86% MIT
Agent
Writes and updates project documentation files — grounded in the live codebase, verifies factual claims. Spawned by docs-update workflow.
59 3mo ago A 31 tokens
copy · 100% MIT
Agent
Executes a single learnship PLAN.md atomically — one task at a time with per-task commits, deviation handling, and SUMMARY.md creation. Spawned by execute-phase on platforms with subagent support.
59 3mo ago A 46 tokens
original MIT
Agent
Generates codebase-grounded improvement ideas through a specific thinking frame. Spawned by the ideate workflow on platforms with subagent support.
59 3mo ago A 35 tokens
original MIT