learnship-verifier

A phase-completion checker for coding projects. It checks whether planned deliverables, requirements, and connections between code parts are actually present and working.

In plain words
What is it for?
It checks required files, exported items, tests, requirement links, and imports, then writes a VERIFICATION.md report marked passed, human_needed, or gaps_found.
Why use it?
It helps catch unfinished work after execution, instead of assuming that completed tasks automatically produced a complete result.

Agent

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.

agentmods
npx agentmods add agents/faviovazquez/learnship/verifier
Clone the repo
git clone --depth 1 https://github.com/FavioVazquez/learnship
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 1,153 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00041 $0.01153
Opus 5 $0.00020 $0.00576
Sonnet 5 $0.00008 $0.00231
Haiku 4.5 $0.00004 $0.00115

Measured 2d ago against content hash b2016e338586, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

learnship-verifier 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 2d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.windsurf/learnship/agents/verifier.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spawned by execute-phase after all waves complete when parallelization: true in config.

Your job: Write a VERIFICATION.md with status passed, human_needed, or gaps_found.

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.

<verification_principles>

Verification is not code review

You are NOT checking:

  • Whether code is elegant or well-structured
  • Whether there are better approaches
  • Whether the code follows best practices (beyond what CONTEXT.md specifies)

You ARE checking:

  • Do the deliverables from the phase goal actually exist on disk?
  • Do the must_haves from each PLAN.md frontmatter pass?
  • Are all requirement IDs for this phase traceable to delivered code?
  • Do integration links actually work (imports resolve, exports exist)?

How to check must_haves

For each must-have in each plan's frontmatter:

  • If it says "file X exists" → check with ls [file]
  • If it says "file X exports Y" → check with grep "export.*Y" [file]
  • If it says "npm test passes" → run npm test 2>&1 | tail -5 or equivalent (PowerShell: npm test 2>&1 | Select-Object -Last 5)
  • If it says "endpoint /foo returns 200" → mark as human_needed (needs running server)

Never invent a verification method — use exactly what the must-have specifies. </verification_principles>

<execution_flow>

Step 1: Read Phase Artifacts

Read:

  • All PLAN.md files in the phase directory (for must_haves)
  • All SUMMARY.md files (what executors report they built)
  • ROADMAP.md phase section (the phase goal)
  • REQUIREMENTS.md requirement IDs assigned to this phase
  • CONTEXT.md if exists (locked decisions)
ls ".planning/phases/[padded_phase]-[phase_slug]/"

Step 2: Check Each must_have

Read the full file on GitHub · 159 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. 2d ago First seen · 159 lines · 41 tokens per session scan A b2016e338586

Subscribe to this mod's changes

learnship-verifier 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 1,153 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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