astrobyte-review
Skill1 starsChanged 14 days agoMITView on GitHub
Review a change against intent, repository standards, correctness, security, data integrity, maintainability, and real verification evidence. Use for PRs, branches, diffs, risky artifacts, or explicit adversarial review.
In this repository43 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .cursor/rules/adopt-skill-stack.mdcCursor rule
- adopt-skill-stackSkill
- api-and-interface-designSkill
- astrobyte-architectSkill
- astrobyte-git-identitySkill
- astrobyte-modeSkill
- astrobyte-project-startupSkill
- astrobyte-pr-workflowsSkill
- astrobyte-recallSkill
- astrobyte-show-workSkill
- astrobyte-tddSkill
- astrobyte-verify-projectSkill
- blast-radiusSkill
- browser-testing-with-devtoolsSkill
- ci-cd-and-automationSkill
- codebase-designSkill
- continual-improvement-checkSkill
- deprecation-and-migrationSkill
- diagnosing-bugsSkill
- domain-modelingSkill
- frontend-designSkill
- frontend-ui-engineeringSkill
- git-workflow-and-versioningSkill
- grillingSkill
- handoffSkill
- hermetic-test-suitesSkill
- observability-and-instrumentationSkill
- performance-optimizationSkill
- pr-feedback-loopSkill
- prototypeSkill
- researchSkill
- security-and-hardeningSkill
- setup-astrobyte-skillsSkill
- shipping-and-launchSkill
- source-driven-developmentSkill
- technical-writingSkill
- to-questionnaireSkill
- typescript-best-practicesSkill
- unslopSkill
- update-skill-stackSkill
- writing-for-agentsSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Read repository standards and affected contracts.
- Distinctive: line 23
Run a focused proof for any high-impact finding that can be checked cheaply.
- Distinctive: line 31
Start the report with a decision layer that states:
- Distinctive: line 39
Keep detailed findings and evidence below that layer or behind artifact links.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Astrobyte review
- Fix the comparison point and gather the complete diff or artifact set.
- State the intended outcome from the request, issue, spec, commit history, and code.
- Read repository standards and affected contracts. Resolve delivery and review preferences from this skill's
scripts/runtime_config.py --project <project-root>and configuration.md. Missing local configuration uses the packaged review policy without onboarding. Apply current instructions and project evidence before personal defaults. - Review these axes:
- intent and acceptance criteria
- correctness and edge cases
- data integrity, provenance, and migrations
- security and trust boundaries
- public interfaces and compatibility
- bloat. See principles.
- tests and real-runtime evidence
- documentation and operational recovery
- PR text. Describe the change and its verification for repository reviewers. Remove internal workflow narration and unrelated setup advice while retaining material code risks and verification limits.
- Run a focused proof for any high-impact finding that can be checked cheaply.
- In
durableandproductionmodes, run the review gate before an agent-created pull request or push. Inexploreandprototype, run it when the operator asks for a review.- Start with the packaged review policy. Apply the returned
working_agreement_layersin order, including their review instructions. Portable differences precede legacy local agreements; local deltas follow them. Apply higher-priority machine, project, and task preferences afterward. Resolve the reviewer against the models and independent read-only routes the current harness actually offers. Strongly recommend Sol and prefer it when available. If Sol is unavailable and no explicit reviewer requirement applies, ask the operator to select an available independent reviewer. An explicit requirement stays binding; when it cannot be met or no independent route exists, report the blocker and keep the gate pending. The push or pull request waits for a current independentPASS. Read reviewer-dispatch.md for dispatch. Missing configuration uses the public preference; self-review never satisfies this gate. - Send that reviewer one read-only strict brief: the intent, the comparison point, the diff, and any external feedback the change must satisfy. Ask for a first line of exactly
PASSorBLOCK, followed by findings with file locations. Any other reply has not passed, and never infer a verdict from the wording. Ask the reviewer once for its verdict; if the second reply is also unclear, report the gate pending and the push or pull request waits. - On
BLOCK, when this run is also implementing the change, fix the finding. When the finding conflicts with the spec, a cited pattern, or a human reviewer's instruction, send that evidence back and ask for a re-ruling. The reviewer stays read-only. - A fresh review must return
PASS. Stop and report after three blocked rounds.
- Start with the packaged review policy. Apply the returned
- Synthesize as lead reviewer. Deduplicate findings and account for missing context.
Start the report with a decision layer that states:
- the practical problem;
- the smallest recommended action;
- why it works;
- what remains risky or unproven;
- the exact decision or action required from the operator.
Keep detailed findings and evidence below that layer or behind artifact links.
Classify each item:
act: blocks correctness, safety, data integrity, or the requested outcomeconsider: real tradeoff that may be worth addressingnote: valid context with low present impactdismiss: incorrect, unsupported, or out of scope
Lead with act findings ordered by severity and include file or artifact locations. State when no actionable findings remain. Do not apply changes unless the user also requested implementation.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

