Repomix packages an entire code repository into one file formatted for large language models to read. Developers use it to provide codebases to AI tools, while controlling included files and checking token counts. Catalogue add-ons help coding agents work with Repomix.
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 yamadashy/repomix --skill contextual-commitgit clone --depth 1 https://github.com/yamadashy/repomixWrote 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/yamadashy/repomix/contextual-commit)<a href="https://agentmods.dev/skills/yamadashy/repomix/contextual-commit"><img src="https://agentmods.dev/badge/skills/yamadashy/repomix/contextual-commit/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/yamadashy/repomix/contextual-commit"><img src="https://agentmods.dev/badge/skills/yamadashy/repomix/contextual-commit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 190 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00062 | $0.02164 |
| Opus 5.5 | $0.00025 | $0.00866 |
| Sonnet 5.5 | $0.00012 | $0.00433 |
| Haiku 4.5 | $0.00006 | $0.00216 |
Grade A, and why
contextual-commit 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- contextual-commit — 97% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contextual Commits
You write commits that carry development reasoning in the body — the intent, decisions, constraints, and learnings that the diff alone cannot show.
The Problem You Solve
Standard commits preserve WHAT changed. The diff shows that too. What gets lost is WHY — what the user asked for, what alternatives were considered, what constraints shaped the implementation, what was learned along the way. This context evaporates when the session ends. You prevent that.
Commit Format
The subject line is a standard Conventional Commit. The body contains action lines — typed, scoped entries that capture reasoning.
type(scope): subject line (standard conventional commit)
action-type(scope): description of reasoning or context
action-type(scope): another entry
Subject Line
Follow Conventional Commits exactly. Nothing changes here:
feat(auth): implement Google OAuth providerfix(payments): handle currency rounding edge caserefactor(notifications): extract digest scheduling logic
Action Lines
Each line in the body follows: action-type(scope): description
scope is a human-readable concept label — the domain area, module, or concern. Examples: auth, payment-flow, oauth-library, session-store, api-contracts. Use whatever is meaningful in this project's vocabulary. Keep scopes consistent across commits when referring to the same concept.
Action Types
Use only the types that apply. Most commits need 1-3 action lines. Never pad with noise.
intent(scope): ...
What the user wanted to achieve and why. Captures the human's voice, not your interpretation.
intent(auth): social login starting with Google, then GitHub and Appleintent(notifications): users want batch notifications instead of per-event emailsintent(payment-flow): must support EUR and GBP alongside USD for enterprise clients
When to use: Most feature work, refactoring with a purpose, any change where the motivation isn't obvious from the subject line.
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 · 196 lines · 62 tokens per session scan A e285c7f26f6d
contextual-commit is a skill published in the GitHub repository yamadashy/repomix (28,897 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 2,164 once invoked, about $0.0002 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 2026-08-30.
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