solve-issue-review

solve-issue-review is a skill for Codex from sago-cream/human-out-of-loop. It costs 45 tokens per session (1,089 once invoked), scanned A, original, MIT.

A workflow that turns selected GitHub issues into draft pull requests, with separate developers and reviewers working in isolated workspaces.

In plain words
What is it for?
It is for solving one or more eligible open GitHub issues and producing independently reviewed draft pull requests.
Why use it?
It reduces the manual work of choosing issues, implementing fixes, and getting an independent review before a draft pull request is published.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions Codex; $skill-name invocation.

Good fit It is for solving one or more eligible open GitHub issues and producing independently reviewed draft pull requests.

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Install with agentmods
npx agentmods add skills/sago-cream/human-out-of-loop/solve-issue-review
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.

Any agent
npx skills add sago-cream/human-out-of-loop --skill solve-issue-review
Clone the repo
git clone --depth 1 https://github.com/sago-cream/human-out-of-loop

Made for: Codex.

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 solve-issue-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/sago-cream/human-out-of-loop/solve-issue-review/github.svg)](https://agentmods.dev/skills/sago-cream/human-out-of-loop/solve-issue-review)
Your own site
<a href="https://agentmods.dev/skills/sago-cream/human-out-of-loop/solve-issue-review"><img src="https://agentmods.dev/badge/skills/sago-cream/human-out-of-loop/solve-issue-review/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.

agentmods 80×15 button for solve-issue-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/sago-cream/human-out-of-loop/solve-issue-review"><img src="https://agentmods.dev/badge/skills/sago-cream/human-out-of-loop/solve-issue-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,089 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00045 $0.01089
Opus 5 $0.00023 $0.00544
Sonnet 5 $0.00009 $0.00218
Haiku 4.5 $0.00005 $0.00109

Measured 12d ago against content hash 46b0a3f87936, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

solve-issue-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 12d 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.

skills/solve-issue-review/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Select

  • $solve-issue-review: select one eligible issue.
  • $solve-issue-review <positive-issue-number>: select that issue only; never substitute another.
  • $solve-issue-review pick [positive-amount]: select distinct issues in ascending order; default to 1, or use all remaining when fewer qualify.
  • Dispatch batches immediately in parallel unless the user requests sequential execution; then finish each issue before dispatching the next.

Eligible: open, with no open or draft PR covering it through a GitHub Development link or closing keyword. Ignore incidental mentions.

Ineligible exact-target output:

ISSUE_SKIPPED issue=<number> reason=<not_found|not_open>
ISSUE_SKIPPED issue=<number> reason=covered_by_pr pr=<url>

Invariants

  • Let $pr publish the draft PR in the current branch's writable remote repository; never select or pass a publication mode.
  • Give each issue one sidebar-visible DEV in an isolated worktree and one independent, source-read-only REV, created only after DEV produces a committed head.
  • Use no neutral seed, transient subagent, Ponytail-enabled REV, or REV forked from DEV.
  • Keep review feedback inside Codex tasks; never post GitHub review activity.
  • Treat active workers as black boxes. ORCH routes lifecycle state; it never repeats or independently interprets worker diagnosis, design, implementation, or validation commentary.
  • ORCH reports only selection/dispatch, an accepted ready head, review/fix transitions, publication, skip, or blocker. Worker tasks own detailed progress narration.
  • Call set_thread_title once per task and never change it:
    • Orchestrator: Solve #<issue> or Solve <amount> issues
    • Developer: #<issue>: <short-description>
    • Reviewer: Review #<issue>
  • Key each run record by repo + issue. Store DEV/REV task IDs and cursors, absolute worktree, accepted head, PR URL, and lifecycle state.

Run

  1. Query issues and open/draft PRs. Select without replacement; recheck before each sequential dispatch or once per parallel batch.
  2. Create branch <type>/<short-kebab-description> using the narrowest of fix, feat, docs, refactor, test, or chore. Never namespace it.
  3. Create DEV with repo, issue + URL, branch, base, absolute worktree, and optional media path. Require DEV to:
    • Activate $ponytail at full intensity.
    • Trust ORCH's coverage check. Recheck only after delay, interruption, or resumption; if covered, stop unchanged with ISSUE_SKIPPED issue=<number> reason=covered_by_pr pr=<url>.
    • For UI changes, exclude .codex-pr-media/ through .git/info/exclude and capture matched, reproducible before/after media: video for interaction, motion, or multiple steps; images otherwise.
    • Implement, commit, and check. Before readiness, restore only agent-generated artifacts outside the commit and require a clean worktree except ignored media.
    • Return { state: "ready_for_review", branch, headSha, checks, media, cleanWorktree: true }; never publish.
    • Leave the branch unchanged after readiness. Send replacement results only to REV.
  4. Verify DEV's first ready head equals worktree HEAD and the worktree is clean except ignored media. If either check fails, send DEV one narrow correction and wait for a replacement result. Otherwise store the result and create REV with issue, DEV task ID, repo, worktree, base, head, checks, and media.
  5. REV owns the loop:
    • Verify each head, run $pr, and send ORCH lifecycle milestones only; never relay intermediate technical commentary.
    • On findings, send the technical details only to DEV, report fix to ORCH, and wait for DEV's replacement head.
    • Repeat until publication; report only the published head and PR URL to ORCH.
  6. After the first ready head, accept head and lifecycle updates only from REV. Matching publication is terminal. For later user-requested changes, set fix, send the request to DEV, and route DEV's replacement head to the same REV.

Read the full file on GitHub · 59 lines

Files

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.

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. 12d ago First seen · 59 lines · 45 tokens per session scan A 46b0a3f87936

Subscribe to this mod's changes

solve-issue-review is a skill published in the GitHub repository sago-cream/human-out-of-loop (6 stars, last pushed 23d ago), licensed MIT. It adds 45 tokens to every session and 1,089 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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