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.
git clone --depth 1 https://github.com/FavioVazquez/learnshipWrote 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.
[](https://agentmods.dev/agents/faviovazquez/learnship/learnship-verifier)<a href="https://agentmods.dev/agents/faviovazquez/learnship/learnship-verifier"><img src="https://agentmods.dev/badge/agents/faviovazquez/learnship/learnship-verifier/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.
<a href="https://agentmods.dev/agents/faviovazquez/learnship/learnship-verifier"><img src="https://agentmods.dev/badge/agents/faviovazquez/learnship/learnship-verifier.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.01153 |
| Opus 5.5 | $0.00016 | $0.00461 |
| Sonnet 5.5 | $0.00008 | $0.00231 |
| Haiku 4.5 | $0.00004 | $0.00115 |
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 1mo 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.
This is a copy
100% identical to learnship-verifier — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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 -5or 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
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.
- 1mo ago First seen · 159 lines · 41 tokens per session scan A b2016e338586
learnship-verifier is an agent published in the GitHub repository FavioVazquez/learnship (61 stars, last pushed 4mo ago), licensed MIT. It adds 41 tokens to every session and 1,153 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to learnship-verifier, differing in 0 lines, and is treated as a copy.
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