Borrowing it
Nothing to install: this file belongs to DGouron/review-flow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/DGouron/review-flow/master/.claude/skills/skill-creator/SKILL.mdgit clone --depth 1 https://github.com/DGouron/review-flowWrote 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/dgouron/review-flow/skill-creator)<a href="https://agentmods.dev/skills/dgouron/review-flow/skill-creator"><img src="https://agentmods.dev/badge/skills/dgouron/review-flow/skill-creator.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.01028 |
| Opus 5 | $0.00023 | $0.00514 |
| Sonnet 5 | $0.00009 | $0.00206 |
| Haiku 4.5 | $0.00005 | $0.00103 |
Grade A, and why
skill-creator 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 8d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
Guide for creating effective skills in the ReviewFlow project.
About Skills
Skills are modular, self-contained packages that extend Claude's capabilities with specialized workflows, domain knowledge, and tool integrations. They transform Claude from a general-purpose agent into a project-specialized one.
What Skills Provide
- Specialized workflows — Multi-step procedures (e.g.
/ship,/tdd,/implement-feature) - Domain expertise — ReviewFlow-specific knowledge, architecture patterns, business rules
- Bundled resources — References and assets loaded on demand
Core Principles
Concise is Key
The context window is a shared resource. Only add context Claude does not already have. Challenge each paragraph: "Does Claude really need this?" If not, remove it.
Set Appropriate Degrees of Freedom
- High freedom (text instructions): multiple approaches valid, context-dependent
- Medium freedom (pseudocode/templates): preferred pattern exists, variation acceptable
- Low freedom (shell scripts): operations are fragile, consistency critical
Anatomy of a ReviewFlow Skill
.claude/skills/<skill-name>/
├── SKILL.md (required)
│ ├── YAML frontmatter (required: name + description)
│ └── Markdown instructions
└── references/ (optional — bundled docs loaded by reference)
Skill Creation Process
- Understand the skill with 2-3 concrete usage examples
- Draft the frontmatter (
name,description,user-invocable) - Write the body — imperative instructions, low prose
- Test it: invoke
/skill-nameand verify Claude follows the workflow - Register in
CLAUDE.mdskills table
Frontmatter Reference
---
name: skill-name # kebab-case, matches folder name
description: > # PRIMARY TRIGGER — LLM reads only this initially.
One or two sentences. # Include natural-language trigger phrases.
"Use when the user says X, Y, Z."
user-invocable: true # true = can be invoked with /skill-name
allowed-tools: Bash, Read # optional — restrict available tools
---
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.
- 8d ago First seen · 135 lines · 47 tokens per session scan A 0c106c85aade
skill-creator is a skill published in the GitHub repository DGouron/review-flow (42 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 1,028 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.
Other skills, from other repositories
issue
Use when starting a chain from a GitHub issue — turning an issue URL or number into a triaged, planned, dispatched, and reviewed pull request. Classifies the thread (bug → root-cause discipline, feature → plan chain, question → drafted reply), synthesizes a spec from the issue's own acceptance criteria, then runs the…
swarm-pr-review
Run a graph-guided, tool-augmented PR review using context packing, parallel exploration, mandatory repository-agnostic risk-family coverage with dispatch scaled to diff size and risk, independent reviewer validation, critic challenge, and metrics writeback. Use for deep pull request review with low false-positive…
brooks-sweep
Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution. Drawing on twelve classic engineering books. Triggers when: user…
include-test-files-that-assert-on-behavior-being-changed-in-decl
When delegating a task affected by this skill, include.
request-review
Dispatch a fresh reviewer agent with a clean context to critique the code after audit-code passes. The reviewer has no shared state with the coding agent and gives a genuine second opinion. Use after audit-code passes, before committing, or when user wants an independent code review.
review
Use when the user wants code assessed rather than changed — "review PR 88", "is this branch ready to merge?", "look over my changes", "any problems with this diff?", "give me a code review", "what do you think of this PR?", "sanity-check this branch", "ship it?". Applies to a pull request or the current branch when…