iflow-review

iflow-review is a skill for Claude Code, Codex, Cursor from jepegit/issue-flow. It costs 23 tokens per session (1,819 once invoked), scanned A, original, MIT.

A GitHub issue-review skill that examines open issues and applies the configured labels. GitHub issues are entries used to track bugs, requests, and other work.

In plain words
What is it for?
It reviews open GitHub issues and adds the yolo label when an issue passes that review.
Why use it?
It reduces manual review and labeling of open issues. In its current version, it supports only the configured yolo-fitness review and label.

Skill for Claude CodeCodexCursor

Install

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.

agentmods
npx agentmods add skills/jepegit/issue-flow/iflow-review
Any agent
npx skills add jepegit/issue-flow --skill iflow-review
Clone the repo
git clone --depth 1 https://github.com/jepegit/issue-flow

Made for: Claude Code, Codex, Cursor.

Wrote 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.

agentmods badge for iflow-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/jepegit/issue-flow/iflow-review.svg)](https://agentmods.dev/skills/jepegit/issue-flow/iflow-review)
Your own site
<a href="https://agentmods.dev/skills/jepegit/issue-flow/iflow-review"><img src="https://agentmods.dev/badge/skills/jepegit/issue-flow/iflow-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,819 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00023 $0.01819
Opus 5 $0.00012 $0.00910
Sonnet 5 $0.00005 $0.00364
Haiku 4.5 $0.00002 $0.00182

Measured 5d ago against content hash 593f72af0400, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

iflow-review 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 5d 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.

.cursor/skills/iflow-review/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

issue-flow — review and label issues (/iflow-review)

Follow this skill to review open GitHub issues and apply labels. It is extendable by review kind; v1 supports yolo only (apply the configured yolo label to issues that pass the yolo-fitness judgment).

Do not auto-dispatch from /iflow, /iflow-build, or /iflow-close. Off-path only. Do not create new GitHub issues here (use /iflow-issue, /iflow-pick fix, or /iflow-epic … publish). Do not remove labels in v1.

Invoke: type iflow review in chat, or /iflow-review from the slash menu (iflow-review also works).

MODEL & EXECUTION DIRECTIVE

Profile: reasoning — Prioritize deep thinking and careful trade-offs over speed or token economy.

In Cursor: switch to a thinking-capable model before invoking this step (not Auto-only).

Keep scope tight to what this step requires.

Resolve project root (multi-root workspaces)

Before any git, gh, or .issueflows/ path operation in this workflow:

Resolution order (stop when unambiguous):

  1. Explicit hints in slash input — root:<path>, repo:<folder-basename> (directory name, e.g. cellpy-core), or repo:owner/name.
  2. CLI fast pathissue-flow agent resolve [-C <start>] [--from-file <active-file>] [--json]. Use the returned project_root and repo; pass -C <project_root> to other issue-flow agent … subcommands. When the answer came from the workspace registry, the payload sets resolved_via_workspace_default: true.
  3. Branch context — exactly one workspace repo whose branch matches ^\d+- → that root.
  4. Single scaffold — exactly one .issueflows/ tree visible in the workspace → that root.
  5. Workspace default — an issueflow-workspace.toml at the workspace root (created with issue-flow workspace init) may name a default member repo; use it when no scaffold matched above. Tell the user the default was used.
  6. Ambiguousstop and ask; never guess between sibling repos.

Read the full file on GitHub · 139 lines

Changes

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.

  1. 5d ago First seen · 139 lines · 23 tokens per session scan A 593f72af0400

Subscribe to this mod's changes

iflow-review is a skill published in the GitHub repository jepegit/issue-flow (4 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 1,819 once invoked, about $0.0001 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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