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.
npx skills add PranitMohnot/repo-learner-suite --skill repo-analyzergit clone --depth 1 https://github.com/PranitMohnot/repo-learner-suiteWrote 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/skills/pranitmohnot/repo-learner-suite/repo-analyzer)<a href="https://agentmods.dev/skills/pranitmohnot/repo-learner-suite/repo-analyzer"><img src="https://agentmods.dev/badge/skills/pranitmohnot/repo-learner-suite/repo-analyzer/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/skills/pranitmohnot/repo-learner-suite/repo-analyzer"><img src="https://agentmods.dev/badge/skills/pranitmohnot/repo-learner-suite/repo-analyzer.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 | $0.00119 | $0.02780 |
| Opus 5.5 | $0.00048 | $0.01112 |
| Sonnet 5.5 | $0.00024 | $0.00556 |
| Haiku 4.5 | $0.00012 | $0.00278 |
Grade A, and why
repo-analyzer 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.
How it starts
The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repo Analyzer
Deep-scan a codebase and produce the foundational learning artifacts. This is the most token-expensive skill in the suite — it reads most of the codebase before generating anything.
Read the Shared Contracts in repo-learner/SKILL.md (manifest schema, step
marker convention, reconciliation rules) before starting. This skill writes the
artifacts those contracts govern.
Analysis Flow
Read learn/internals/.config.json:repo.language first (set by the
orchestrator in Step 0 of its front-loaded questions). The analyzer reads
code in any language; the language only shapes which file extensions are
worth scanning, what library() / import patterns look like, and what
"runnable example" means for the cheatsheet.
Follow the global→local cognitive flow identified in codebase comprehension research (Gao et al., 2025 — CodeMap):
Level 1: Global (Project Overview)
- Read README, docs/, CONTRIBUTING, build config.
- Identify: project purpose, target users, key dependencies, ecosystem position.
- Output: Section 0 of
learn/curriculum.md(see below).
Level 2: Structural (Architecture)
- Map module/package structure via directory tree + imports.
- Identify: core abstractions, data flow, entry points, extension points.
- Read tests directory for coverage map.
- Output: architecture parts of curriculum sections.
Level 3: Local (Functions and Variables)
- Deep-read public API, key internal modules, examples.
- Identify: function signatures, patterns, gotchas, underdocumented behavior.
- Output: detailed curriculum sections, cheatsheet, quiz bank.
Output Artifacts
learn/curriculum.md — THE document
One file. The learner scrolls through it top to bottom, clicking out to notebooks/terminal/source files only when a step calls for it. There is no separate README, no separate overview, no separate path table.
Structure
Section 0: Overview (plain-English big picture — see below)
Section 1.1, 1.2, … (Phase 1: usage)
Section 2.1, 2.2, … (Phase 2: internals)
Section 3.1, 3.2, … (Phase 3: extension)
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 301 lines · 119 tokens per session scan A 88f9f59067fd
repo-analyzer is a skill published in the GitHub repository PranitMohnot/repo-learner-suite (5 stars, last pushed 5mo ago), licensed MIT. It adds 119 tokens to every session and 2,780 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-31.
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