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Receiving code review

Skill dr-code/tessera/skills/receiving-code-review

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementationFrom its SKILL.md

Install
npx -y skills add dr-code/tessera --skill receiving-code-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.3 KB, as published. Nobody here has run it

Code Review Reception

<!-- Adapted from obra/superpowers — Tessera graph context and edit registration added -->

Tessera Context Load

Before evaluating any feedback — if tessera MCP is configured:

1. graph_continue (mandatory first call)
2. graph_action_summary — surface locked decisions; flag if feedback would violate them

Overview

Code review requires technical evaluation, not emotional performance.

Core principle: Verify before implementing. Ask before assuming. Technical correctness over social comfort.

The Response Pattern

1. READ: Complete feedback without reacting
2. UNDERSTAND: Restate requirement in own words (or ask)
3. VERIFY: Check against codebase reality
4. EVALUATE: Technically sound for THIS codebase?
5. RESPOND: Technical acknowledgment or reasoned pushback
6. IMPLEMENT: One item at a time, test each

Forbidden Responses

NEVER:

  • "You're absolutely right!" (performative)
  • "Great point!" (performative)
  • "Let me implement that now" (before verification)

INSTEAD:

  • Restate the technical requirement
  • Ask clarifying questions
  • Push back with technical reasoning if wrong
  • Just start working (actions > words)

Handling Unclear Feedback

If any item is unclear: STOP. Ask for clarification on ALL unclear items before implementing any of them.

Items may be related. Partial understanding = wrong implementation.

Source-Specific Handling

From project owner:

  • Trusted — implement after understanding
  • Still ask if scope unclear
  • No performative agreement

From external reviewers:

  1. Check: Technically correct for THIS codebase?
  2. Check: Breaks existing functionality?
  3. Check: Reason for current implementation?
  4. Check: Works on all platforms/versions?

If conflicts with prior architectural decisions (check graph_action_summary if tessera MCP configured): STOP and discuss with project owner.

YAGNI Check for "Professional" Features

If reviewer suggests "implementing properly": grep codebase for actual usage.

  • If unused: "This isn't called. Remove it (YAGNI)?"
  • If used: Then implement properly.

When To Push Back

Push back when:

  • Suggestion breaks existing functionality
  • Reviewer lacks full context
  • Violates YAGNI (unused feature)
  • Technically incorrect for this stack
  • Conflicts with locked architectural decisions

Acknowledging Correct Feedback

✅ "Fixed. [Brief description of what changed]"
✅ "Good catch — [specific issue]. Fixed in [location]."
✅ [Just fix it and show in the code]

❌ "You're absolutely right!"
❌ "Great point!"
❌ Any gratitude expression

Actions speak. Just fix it.

After Implementing Fixes

If tessera MCP is configured: after each fix, call graph_register_edit:

graph_register_edit(
  files   = ["path/to/fixed/file::symbol"],
  summary = "<what was fixed and why>",
  checklist_item_id = <id from active_checklist if this fix maps to a plan item>
)

This keeps the graph cache current and marks plan checklist items done if the review fixes were plan-tracked.

Keep looking

Skills are one crate of 627,801. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.