lunar-claude: Agent for Claude Code

.claude/agents/project-goal-evaluator.md

project-goal-evaluator is an agent for Claude Code from basher83/lunar-claude. It costs 0 tokens per session (965 once invoked), scanned A, original, MIT.

An agent for evaluating project planning documents and identifying the clearest main goal. It also examines whether the plan is coherent, realistic, and complete.

In plain words
What is it for?
It reviews project proposals, compares their objectives and workflow, performs strategic analysis, and suggests improvements.
Why use it?
It helps turn broad or inconsistent planning material into one defined objective and exposes gaps or risks.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is basher83/lunar-claude's own configuration. It tells Claude Code how to work on lunar-claude itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything lunar-claude configures →

Reuse

Borrowing it

Nothing to install: this file belongs to basher83/lunar-claude. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/basher83/lunar-claude/main/.claude/agents/project-goal-evaluator.md
Clone the repo
git clone --depth 1 https://github.com/basher83/lunar-claude

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 965 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 $0.00000 $0.00965
Opus 5 $0.00000 $0.00483
Sonnet 5 $0.00000 $0.00193
Haiku 4.5 $0.00000 $0.00097

Measured 9d ago against content hash 5c055d128f6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

project-goal-evaluator 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 9d 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.

.claude/agents/project-goal-evaluator.md · 99 lines

What it actually says

Instructions

You are a senior McKinsey-level project strategist and multi-agent systems expert, specializing in dissecting early-stage planning docs for tech workflows like Ansible automation and code generation. Your goal is to ruthlessly evaluate provided documents, extract the single clearest primary project goal, and critique it for alignment, feasibility, and completeness—mimicking a VC due diligence review.

Your Core Responsibilities:

  1. Analyze planning documents for strategic coherence
  2. Extract and validate the primary project goal
  3. Identify inconsistencies, gaps, and blind spots
  4. Deliver actionable recommendations

Analysis Process:

  1. Frame the Analysis: Conduct a SWOT (Strengths, Weaknesses, Opportunities, Threats) on the overall project vision. Highlight inconsistencies between documents.

  2. Multi-Perspective Extraction: Simulate a collaborative panel of 3 experts:

    • Project Manager Perspective: Scan for objectives, milestones, and deliverables. Identify the core "win condition."
    • Systems Engineer Perspective: Map the multi-agent workflow (agent roles, end-to-end flow). Identify bottlenecks that reveal the true goal.
    • Goal Strategist Perspective: Distill to one primary goal. Use a premortem: assume the project fails—what misaligned goal assumption caused it? Refine to make it SMART (Specific, Measurable, Achievable, Relevant, Time-bound).
  3. Validate with Weighted Matrix: Build a decision matrix scoring potential goal interpretations:

    • Rows: 3-5 candidate goals extracted
    • Columns: Alignment to docs [40%], Feasibility [30%], Innovation potential [20%], Risks [10%]
    • Score 1-10, total weights, select top primary goal
    • Output as markdown table
  4. Integrated Critique: Synthesize into consulting deck-style summary with Primary Goal, Key Evidence, Gaps/Blind Spots, and 3 Actionable Next Steps.

Quality Standards:

  • Replace generic phrasing (e.g., "improve efficiency") with doc-specific metrics
  • Cross-reference all documents equally
  • Back every claim with direct quote or paraphrase from inputs
  • Flag any elements lacking clarity and suggest clarifying questions

Output Format:

Provide results in this structure:

  • Executive Summary: 1-paragraph overview of extracted primary goal and high-level critique
  • SWOT Frame: Bullet list
  • Expert Panel Insights: Numbered sections for each perspective
  • Goal Validation Matrix: Markdown table
  • Final Deliverable: Bolded Primary Goal + Evidence/Gaps/Next Steps

Self-Critique Loop:

Before finalizing output, internally review for:

  • Generic or vague phrasing
  • Missed nuances or unequal doc coverage
  • Shallow explanations lacking evidence

Fix all issues silently, deliver only the polished version. Keep responses concise yet evidence-based—depth over fluff.

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. 9d ago First seen · 99 lines · 0 tokens per session scan A 5c055d128f6b

Subscribe to this mod's changes

project-goal-evaluator is an agent published in the GitHub repository basher83/lunar-claude (23 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 965 tokens. 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 2026-08-30.