GitHub Review Iteration
prisma/orm
Runs a loop on a GitHub pull request: fetch review state, triage comments into actions, implement them and resolve threads, repeating until nothing actionable is left.
Practices to apply when taking a code-review assignment. An agent skill from awebai/aweb.
$ npx skills add awebai/aweb --skill code-review-discipline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install awebai/aweb code-review-discipline --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/awebai/aweb.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/code-review-discipline .claude/skills/code-review-discipline && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "code-review-discipline" agent skill from https://github.com/awebai/aweb/tree/main/.claude/skills/code-review-discipline into .claude/skills/code-review-discipline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review-discipline", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/awebai/aweb/tree/main/.claude/skills/code-review-disciplineType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add awebai/aweb --skill code-review-discipline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install awebai/aweb code-review-discipline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/awebai/aweb.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/code-review-discipline .agents/skills/code-review-discipline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "code-review-discipline" agent skill from https://github.com/awebai/aweb/tree/main/.claude/skills/code-review-discipline into .agents/skills/code-review-discipline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review-discipline", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add awebai/aweb --skill code-review-discipline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install awebai/aweb code-review-discipline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/awebai/aweb.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/code-review-discipline .cursor/skills/code-review-discipline && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "code-review-discipline" agent skill from https://github.com/awebai/aweb/tree/main/.claude/skills/code-review-discipline into .cursor/skills/code-review-discipline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review-discipline", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/awebai/aweb.git --path .claude/skills/code-review-discipline--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add awebai/aweb --skill code-review-discipline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install awebai/aweb code-review-discipline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/awebai/aweb.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/code-review-discipline .gemini/skills/code-review-discipline && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "code-review-discipline" agent skill from https://github.com/awebai/aweb/tree/main/.claude/skills/code-review-discipline into .gemini/skills/code-review-discipline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review-discipline", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install awebai/aweb code-review-disciplineInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add awebai/aweb --skill code-review-discipline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/awebai/aweb.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/code-review-discipline .github/skills/code-review-discipline && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "code-review-discipline" agent skill from https://github.com/awebai/aweb/tree/main/.claude/skills/code-review-discipline into .github/skills/code-review-discipline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review-discipline", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add awebai/aweb --skill code-review-discipline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install awebai/aweb code-review-discipline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/awebai/aweb.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/code-review-discipline .opencode/skills/code-review-discipline && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "code-review-discipline" agent skill from https://github.com/awebai/aweb/tree/main/.claude/skills/code-review-discipline into .opencode/skills/code-review-discipline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review-discipline", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
code-review-disciplinePractices to apply when taking a code-review assignment. An agent skill from awebai/aweb.
Code Review Discipline is an agent skill from awebai/aweb. Practices to apply when taking a code-review assignment. Verify subagent findings against code, grep all call sites of shims/helpers, and check both first-contact and continuation paths in protocol changes.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Code review and Subagents. The repository describes itself as: Communication for AI agents: stable identity, durable mail and chat, and wake-up events across sessions, runtimes, machines, and organizations. MIT, self-hostable. The licence is MIT.
Read from SKILL.md and the folder at commit 272d187. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Code Review Discipline loads about 2.2k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 1,196 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from awebai/aweb at commit 272d187, republished under its MIT licence (© awebai). 1,196 words, ~2,204 tokens.
.claude/skills/code-review-discipline/SKILL.md (or your agent's skills folder).Load this skill at the start of any code review assignment. The lessons here come from real misses that shipped close to deploy and were caught by either another reviewer or a subagent's second pass.
Running a code-reviewer subagent for a "second set of eyes" is cheap and
sometimes catches what the primary reviewer missed. It also sometimes produces
wrong-premise findings with confident framing. Banked data points from the
aweb-aaou federation review chain:
The subagent's confidence in BOTH cases sounded the same. Confidence is not a signal of correctness.
Practice: when a subagent surfaces a finding, treat it as a LEAD, not a
conclusion. Open the actual file at the claimed line, verify the claim against
code, then decide whether to act. If the subagent claims "X is missing,"
grep -n X first. If the subagent claims "Y is wrong," read Y in source first.
Subagent output gets verified-against-code with the same scrutiny as any other
review claim — including findings that match your own intuition.
This applies symmetrically: the subagent's wrong findings AND its valid findings both need code-level verification before they shape your review output.
When a code change introduces a helper that other code SHOULD route through (an authentication wrapper, a federation shim, a fail-closed gate, a logging hook), reviewing the helper's factoring is necessary but not sufficient. The factoring being correct DOES NOT prove that every site needing it actually uses it.
Concrete miss from the aweb-aaou review chain:
mcp_federation_request shim introduced to let MCP tools call into route
helpers for federation outbound. Shim factoring reviewed and signed off as
correct — the abstraction shape, the dependency-injection seam, the call
conventions all checked out.mcp/tools/mail.py and
mcp/tools/chat.py were updated to use the shim. The CONTINUATION branches
(conversation_id / session_id paths in the same files) still called
deliver_message and send_in_session directly, bypassing federation
entirely.Practice: when reviewing a change that introduces a helper, grep ALL call sites that PLAUSIBLY need it, not just the call sites visible in the diff. A diff showing one branch updated does not prove the other branches were considered:
grep -rn '<helper_name>' <relevant tree> # all uses of the helper
grep -rn '<old_direct_call>' <relevant tree> # all direct calls the helper
# was supposed to replaceThe diff shows what changed; grep shows what should have changed. The difference is the review gap.
When reviewing a protocol or wire-format change, almost every flow has two stages:
Reviewers naturally focus on the establish stage because that's where the new contract is most visible — first-contact carries the full envelope, the expensive checks (signature, cert, address resolution) all fire there. The extend stage gets less attention because it usually reuses state established earlier ("the conversation is already authorized; we just append to it").
This asymmetry is where wire-protocol changes most often leak. A federation contract that handles first-contact correctly but drops continuation isn't "federation that works minus a small edge case" — it's federation that LOOKS like it works in development but fails the first time a real user replies.
Practice: explicitly check BOTH stages when reviewing any change involving sessions, conversations, or stateful protocols. Use a two-column checklist mentally:
| concern | first-contact path | continuation path |
|---|---|---|
| signed_payload binding | verified? | verified? |
| target re-resolution | verified? | uses stored route? |
| auth / cert presentation | verified? | verified or scoped-not-required? |
| fail-closed on missing input | verified? | verified? |
| dispatched via shim/helper | verified? | verified? |
If either column has a blank, the review isn't done yet.
A passing CI gate is evidence of source-code correctness only when the gate actually exercises the code-under-test. The gate path can silently decouple the test environment from current source via Docker image builds, lockfile- pinned dependencies, cached test fixtures, or stale container layers.
Test before treating a gate signal as evidence: would this gate fail if I broke X in the source? If not, the gate isn't measuring X. The signal is decorative for the question "did my change work."
Specific failure modes seen:
uv sync from lockfile → tests against pinned PyPI version,
not local source. The aweb 1.23.0 federation work surfaced this: the
ac release image copied sibling aweb sources, but uv sync still
installed PyPI aweb==1.22.0 from uv.lock. The Docker user-journey gate
ran against the stale package for the duration of the federation work; all
"Docker e2e green" signals were false-evidence for source-level correctness.default_delivery_origin, which the supported namespace-controller
CLI/API path did not yet expose. The test validated envelope flow once
the route was set, but proved nothing about whether real operators (or
hosted) could set the route through the supported surface. "Federation
works" was true at the library layer and false at the operator surface
the feature ships as.General principle: a test that bypasses the supported user path with privileged fixture setup is measuring something narrower than the feature ships as. The library can be correct while the feature is operationally inert. Sanity-check by asking: if I removed the privileged fixture step, does the test still pass via the supported path? If not, the supported path is untested even when the test is green.
When loading this section: any review of CI gate failures or successes where the change touches a dependency-resolution path (Docker, lockfiles, container builds, npm registry resolution, cached fixtures). Also when a gate has been green for N runs and the change-under-test is non-trivial — ask: "what would have made it red?"
The discipline applies symmetrically to red and green signals. A red gate isn't evidence of broken code if the gate doesn't actually exercise the broken path; a green gate isn't evidence of working code if the gate doesn't actually exercise the changed code.
code-reviewer subagent and considering whether to act on its
findings.© awebai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/code-review-discipline of awebai/aweb.
Open the folder on GitHubat commit 272d187
Code Review Discipline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Code Review Discipline this skillawebai/aweb | 115 | — | ~2.2k | Automated safety check: Pass | MIT | |
| GitHub Review Iterationprisma/orm | 48k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Cherry Studio PR ReviewCherryHQ/cherry-studio | 52k | — | ~3.9k | Automated safety check: Pass | AGPL-3.0 | |
| PR Reviewjaemk/self_update | 961 | — | ~1.5k | Automated safety check: Notes | MIT | |
| Cursor Composer Task DelegateChachamaru127/claude-code-harness | 3.2k | — | ~4.4k | Automated safety check: Notes | MIT | |
| Local PR Reviewwindmill-labs/windmill | 18k | — | ~995 | Automated safety check: Pass | Custom licence |
prisma/orm
Runs a loop on a GitHub pull request: fetch review state, triage comments into actions, implement them and resolve threads, repeating until nothing actionable is left.
CherryHQ/cherry-studio
Reviews Cherry Studio branches, pull requests, commits, files and docs against the project's own architecture, naming, API-boundary and UI rules, report-only by default.
jaemk/self_update
Targeted, read-only review of a PR or checked-out branch. An agent skill from jaemk/self_update.
Chachamaru127/claude-code-harness
Hands one implementation task to Cursor Composer in an isolated git worktree, then reviews its diff and cherry-picks the result into the main branch.
windmill-labs/windmill
Runs the same code review locally that GitHub's auto-review actions run on a PR, delegating to a fresh-context subagent so the review isn't biased by the main session's own reasoning.
HuangPuStar/FenixAgent
A skill your agent uses when starting an issue, bugfix, feature, or refactor that should be driven by multiple coordinated subagents: explore → plan → code → review, with the main agent acting as…
awebai/aweb
Recognizes old aweb bootstrap-era `agents/` directories and migrates them to current team and identity primitives, since the old command family is retired.
awebai/aweb
Guides decisions for agents working in an aweb team: when to check shared state, claim tasks, take locks, read team roles and instructions, and open separate worktrees.
awebai/aweb
Guides how an agent reads and responds to aweb mail and chat events, choosing between asynchronous mail and synchronous chat and respecting sender verification and encryption boundaries.
awebai/aweb
This skill should be used when joining or being added to an aweb team, picking the correct invite/add-member path for the team's authority model (hosted vs BYOT), accepting invites, fetching team…
awebai/aweb
Creates or appends a folio document from the built-in pitch, memo or metrics templates by sending schema-checked slots that folio renders to Markdown.
awebai/aweb
A skill your agent uses when an agent needs to show a human an folio document: mint a document-bound capability link with POST /v1/present, open the returned URL for the human, print it as fallback…
Categories
Practices to apply when taking a code-review assignment. An agent skill from awebai/aweb. Code Review Discipline is an agent skill from awebai/aweb. Practices to apply when taking a code-review assignment.
Code Review Discipline fits situations like: tasks that involve Code review; tasks that involve Subagents.
Run `npx skills add awebai/aweb --skill code-review-discipline -a claude-code`. Or copy the skill folder (.claude/skills/code-review-discipline in awebai/aweb) into .claude/skills/code-review-discipline in your project. Claude Code loads it when a task matches its description.
Run `npx skills add awebai/aweb --skill code-review-discipline -a codex`. Or copy the skill folder (.claude/skills/code-review-discipline in awebai/aweb) into .agents/skills/code-review-discipline in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add awebai/aweb --skill code-review-discipline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-review-discipline, .gemini/skills/code-review-discipline, .github/skills/code-review-discipline and .opencode/skills/code-review-discipline in your project.
Going by SKILL.md and its folder, Code Review Discipline needs the command-line tools its instructions call (uv). Our summary lists: Docker.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Code Review Discipline is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Code Review Discipline: GitHub Review Iteration (prisma/orm, 48k stars), Cherry Studio PR Review (CherryHQ/cherry-studio, 52k stars), PR Review (jaemk/self_update, 961 stars) and Cursor Composer Task Delegate (Chachamaru127/claude-code-harness, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
awebai (a GitHub organization) maintains it in awebai/aweb, which has 115 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 7, 2026.
Source: awebai/aweb on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.