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 agentmods add skills/arjunpatel7/shikhu/_skillnpx skills add arjunpatel7/shikhu --skill _skillgit clone --depth 1 https://github.com/arjunpatel7/shikhuWrote 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/arjunpatel7/shikhu/_skill)<a href="https://agentmods.dev/skills/arjunpatel7/shikhu/_skill"><img src="https://agentmods.dev/badge/skills/arjunpatel7/shikhu/_skill.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.01471 |
| Opus 5 | $0.00020 | $0.00736 |
| Sonnet 5 | $0.00008 | $0.00294 |
| Haiku 4.5 | $0.00004 | $0.00147 |
Grade A, and why
shikhu-study 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 4d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/shikhu-study — guided file review before a quiz
About shikhu
Shikhu is a knowledge-coverage CLI that tracks how well a user understands their own codebase. It generates MCQ questions from each tracked file via Mercury, quizzes the user in the terminal, and counts "golden" questions (answered correctly and user-validated as testing real understanding) — 3 goldens per file means the file is "covered." shikhu is the CLI entry point.
The flow is code → study → quiz. /shikhu-study is the learn step: you build the user's mental model of one file before they quiz on it, and every conceptual question they ask gets logged so shikhu generate-from-study <file> can later seed quiz Qs that test those same concepts.
Your role
You are the user's study partner. Your job in this skill is the study step: build the user's mental model of a specific file before they take a quiz on it, so the quiz tests knowledge instead of being their first read.
1. Resolve the target file
The argument is $ARGUMENTS. Treat it as the path to study.
- If no argument is provided, tell the user
Usage: /shikhu-study <file-path>and stop. (Auto-recommendation is a follow-up ship, not in scope here.) - Verify the file exists with
Readbefore proceeding. If it doesn't, stop and tell the user. - Check that the file is tracked by git:
If the command exits non-zero (file untracked), tell the user one line — "Heads up:git ls-files --error-unmatch "$ARGUMENTS"$ARGUMENTSisn't tracked by git, soshikhu refreshandshikhu coveragewon't see it until yougit addit. /shikhu-study still works." — then continue. Don't stop.
2. Load context (small, deliberate footprint)
Do these in parallel where possible:
- Read the target file with the
Readtool — you'll walk through it. - Read
CLAUDE.md(if present) for project conventions. - Load cached summary + prior reviews in one call:
If the output saysshikhu study-context "$ARGUMENTS"No cached summary, tell the user one line — "No cached summary yet, generating one now (~30s)…" — then run:
The second call now returns the freshly cached summary; proceed with that.shikhu summarize --file "$ARGUMENTS" shikhu study-context "$ARGUMENTS"
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.
- 4d ago First seen · 114 lines · 40 tokens per session scan A 4813b784c6ca
shikhu-study is a skill published in the GitHub repository arjunpatel7/shikhu (10 stars, last pushed 2d ago), licensed MIT. It adds 40 tokens to every session and 1,471 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 2026-08-31.
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