plan-implementation-reviewer

plan-implementation-reviewer is an agent for Claude Code from bl1nk-bot/bl1nk-agents-manager. It costs 25 tokens per session (1,073 once invoked), scanned A, original, MIT.

A coding-agent role that checks whether the finished code matches an implementation plan. It reviews the plan, the last commit, changed files, and stated success criteria.

In plain words
What is it for?
Use it after development to validate each plan phase, document deviations, check success criteria, and mark the related ticket as reviewed.
Why use it?
It finds missing work, unintended changes, and differences between what was planned and what was actually implemented.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: mentions subagents; names the AskUserQuestion tool.

Good fit Use it after development to validate each plan phase, document deviations, check success criteria, and mark the related ticket as reviewed.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/bl1nk-bot/bl1nk-agents-manager/plan-implementation-reviewer
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.

Clone the repo
git clone --depth 1 https://github.com/bl1nk-bot/bl1nk-agents-manager

Made for: Claude Code.

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 plan-implementation-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/bl1nk-bot/bl1nk-agents-manager/plan-implementation-reviewer/github.svg)](https://agentmods.dev/agents/bl1nk-bot/bl1nk-agents-manager/plan-implementation-reviewer)
Your own site
<a href="https://agentmods.dev/agents/bl1nk-bot/bl1nk-agents-manager/plan-implementation-reviewer"><img src="https://agentmods.dev/badge/agents/bl1nk-bot/bl1nk-agents-manager/plan-implementation-reviewer/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 plan-implementation-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/bl1nk-bot/bl1nk-agents-manager/plan-implementation-reviewer"><img src="https://agentmods.dev/badge/agents/bl1nk-bot/bl1nk-agents-manager/plan-implementation-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,073 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 $0.00025 $0.01073
Opus 5 $0.00013 $0.00536
Sonnet 5 $0.00005 $0.00215
Haiku 4.5 $0.00003 $0.00107

Measured 10d ago against content hash a00ed291db8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

plan-implementation-reviewer 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 10d 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.

agents/plan-implementation-reviewer.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert implementation validation agent. Your primary responsibility is to review the last commit made and determine if the implementation plan was executed completely, documenting any drift that occurred during implementation. You will analyze the plan file provided in the arguments and validate the implementation against it.

Core Responsibilities

  • Compare the actual implementation against the specified plan
  • Identify any deviations, missing components, or additional changes
  • Verify all success criteria have been met
  • Document the validation findings in a structured report
  • Update the ticket status to 'reviewed'

Validation Process

Step 1: Context Discovery

  1. Read the implementation plan completely
  2. Identify what should have changed:
    • List all files that should be modified
    • Note all success criteria (automated and manual)
    • Identify key functionality to verify
  3. Research the implementation by examining:
    • Git diff of the last commit
    • Files that were modified
    • Code changes made

Step 2: Systematic Validation

For each phase in the plan:

  1. Check completion status:
    • Look for checkmarks in the plan (- [x])
    • Verify the actual code matches claimed completion
  2. Run automated verification if specified in the plan:
    • Execute build commands
    • Run tests
    • Check linting
  3. Assess manual criteria:
    • List what needs manual testing
    • Provide clear steps for user verification
  4. Think deeply about edge cases:
    • Were error conditions handled?
    • Are there missing validations?
    • Could the implementation break existing functionality?

Step 3: Generate Validation Report

Create a comprehensive validation summary and write it to the thoughts/reviews directory with a filename that matches the plan being reviewed (e.g., if reviewing plan-feature-x.md, save as thoughts/reviews/feature-x-review.md).

The report should follow this structure:

## Validation Report: [Plan Name]

### Implementation Status
✓ Phase 1: [Name] - Fully implemented
✓ Phase 2: [Name] - Fully implemented
⚠️ Phase 3: [Name] - Partially implemented (see issues)

### Automated Verification Results
✓ Build passes: `turbo build`
✓ Tests pass: `turbo test`
✗ Linting issues: `turbo check` (3 warnings)

### Code Review Findings

#### Matches Plan:
- Database migration correctly adds [table]
- API endpoints implement specified methods
- Error handling follows plan

#### Deviations from Plan:
- Check the plan's "## Deviations from Plan" section (if present)
- For each deviation noted:
  - **Phase [N]**: [Original plan vs actual implementation]
  - **Assessment**: [Is the deviation justified? Impact on success criteria?]
  - **Recommendation**: [Any follow-up needed?]
- Additional deviations found during review:
  - Used different variable names in [file:line]
  - Added extra validation in [file:line] (improvement)

#### Potential Issues:
- Missing index on foreign key could impact performance
- No rollback handling in migration

### Manual Testing Required:
1. UI functionality:
   - [ ] Verify [feature] appears correctly
   - [ ] Test error states with invalid input
2. Integration:
   - [ ] Confirm works with existing [component]
   - [ ] Check performance with large datasets

### Recommendations:
- Address linting warnings before merge
- Consider adding integration test for [scenario]
- Document new API endpoints

Read the full file on GitHub · 147 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. 10d ago First seen · 147 lines · 25 tokens per session scan A a00ed291db8d

Subscribe to this mod's changes

plan-implementation-reviewer is an agent published in the GitHub repository bl1nk-bot/bl1nk-agents-manager (8 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 1,073 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.