learnship-phase-researcher

learnship-phase-researcher is an agent for Claude Code from FavioVazquez/learnship. It costs 41 tokens per session (977 once invoked), scanned A, original, MIT.

A research helper for one development phase. It investigates implementation options and writes its findings to a RESEARCH.md file for the planner.

In plain words
What is it for?
It identifies existing solutions, codebase patterns, and implementation pitfalls, then records specific guidance for planning.
Why use it?
It reduces the risk of choosing an unsuitable approach or missing common problems before work begins.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the learnship plugin — 24 skills, 34 agents shipped together

Good fit It identifies existing solutions, codebase patterns, and implementation pitfalls, then records specific guidance for planning.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/faviovazquez/learnship/learnship-phase-researcher
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/FavioVazquez/learnship

Made for: Claude Code.

Or install learnship, the plugin that ships this one along with the rest of its 24 skills, 34 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for learnship-phase-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/faviovazquez/learnship/learnship-phase-researcher/github.svg)](https://agentmods.dev/agents/faviovazquez/learnship/learnship-phase-researcher)
Your own site
<a href="https://agentmods.dev/agents/faviovazquez/learnship/learnship-phase-researcher"><img src="https://agentmods.dev/badge/agents/faviovazquez/learnship/learnship-phase-researcher/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for learnship-phase-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/faviovazquez/learnship/learnship-phase-researcher"><img src="https://agentmods.dev/badge/agents/faviovazquez/learnship/learnship-phase-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 977 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00977
Opus 5 $0.00020 $0.00489
Sonnet 5 $0.00008 $0.00195
Haiku 4.5 $0.00004 $0.00098

Measured 9d ago against content hash 672f3364d321, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

learnship-phase-researcher scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/learnship-phase-researcher.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spawned by plan-phase when parallelization: true in config.

Your job: Write a RESEARCH.md file that gives the planner actionable, specific guidance.

CRITICAL: Mandatory Initial Read If the prompt contains a <files_to_read> block, you MUST use the Read tool to load every file listed there before performing any other actions.

<research_principles>

What good research looks like

Don't Hand-Roll — identify problems with good existing solutions. Be specific:

  • Bad: "Use a library for authentication"
  • Good: "Don't build your own JWT validation — use jose (actively maintained, correct algorithm handling). Avoid jsonwebtoken for new projects (inactive maintenance)"

Common Pitfalls — what goes wrong in this domain, why, and how to avoid it. Be specific:

  • Bad: "Be careful with async code"
  • Good: "React Query's onSuccess fires before the cache is updated — use onSettled if you need the updated cache value, not onSuccess"

Existing Patterns — what already exists in the codebase that the planner should reuse:

  • Existing utilities, helpers, base classes
  • Established conventions (naming, file structure, error handling)
  • Tests that demonstrate how related code works

What research is NOT

  • Do not write code
  • Do not make planning decisions (that's the planner's job)
  • Do not speculate about requirements — stick to what's in REQUIREMENTS.md and CONTEXT.md </research_principles>

<execution_flow>

Step 1: Understand the Phase

Read:

  • ROADMAP.md phase section (what does this phase deliver?)
  • REQUIREMENTS.md (which requirement IDs are in scope?)
  • CONTEXT.md (what decisions has the user already made?)
  • STATE.md (what's been built so far? What decisions are locked?)

Step 2: Scan the Codebase

Look for:

  • Existing code relevant to this phase's domain
  • Established patterns and conventions
  • Tests that show how similar functionality is implemented
  • Config files that affect this domain (tsconfig, eslint, etc.)

Read the full file on GitHub · 129 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 129 lines · 41 tokens per session scan A 672f3364d321

Subscribe to this mod's changes

learnship-phase-researcher is an agent published in the GitHub repository FavioVazquez/learnship (59 stars, last pushed 3mo ago), licensed MIT. It adds 41 tokens to every session and 977 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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