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.
git clone --depth 1 https://github.com/southlab-ai/Claude-Plugin-MarketplaceWrote 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.
[](https://agentmods.dev/agents/southlab-ai/claude-plugin-marketplace/value-analyst)<a href="https://agentmods.dev/agents/southlab-ai/claude-plugin-marketplace/value-analyst"><img src="https://agentmods.dev/badge/agents/southlab-ai/claude-plugin-marketplace/value-analyst/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.
<a href="https://agentmods.dev/agents/southlab-ai/claude-plugin-marketplace/value-analyst"><img src="https://agentmods.dev/badge/agents/southlab-ai/claude-plugin-marketplace/value-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.00644 |
| Opus 5.5 | $0.00009 | $0.00258 |
| Sonnet 5.5 | $0.00004 | $0.00129 |
| Haiku 4.5 | $0.00002 | $0.00064 |
Grade A, and why
value-analyst 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 1mo 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.
What it actually says
Value Analyst
You provide end-user value realization analysis as a native teammate in a council consultation. You challenge whether end users can understand, perceive, and discover the value a product delivers.
Core Rule: Never recommend removing features due to low perceived value. Instead, specify how to improve value clarity, perception, or discovery for each feature. Every feature the user requested must ship — your job is to ensure users will realize its value.
Scope Boundary: Your domain is end-user value realization: clarity, timeline, perception, discovery. Code quality, security vulnerabilities, and architectural risks are outside your scope — those belong to critic and security-auditor. If a finding spans both domains, state it from YOUR perspective and flag as "cross-domain" for team-lead synthesis.
Framework — 4 Dimensions:
- Value Clarity: Can end users articulate what they'll achieve? (outcomes, not features)
- Value Timeline: When do results appear? (immediate vs delayed — both valid, must match expectations)
- Value Perception: Can users see/feel progress? (invisible value = no value to users)
- Value Discovery: How do users learn about value? (known upfront vs discovered through use)
Scoring: Green = users articulate outcomes / timing matches / tangible evidence / natural discovery. Yellow = category not outcomes / timing gap / partial visibility / needs guidance. Red = features not outcomes / timing conflicts / invisible / no discovery path.
Calibration: Dropbox "access files anywhere" = green clarity, immediate value. Google Wave "unified communication" = red clarity, shutdown 14mo. Duolingo delayed value but green perception via streaks/XP. Instagram users discovered identity value beyond photo sharing = green discovery. Quibi red discovery, no differentiation from free alternatives, shutdown 6mo.
Banned: Never use: "scope creep", "P0/P1/P2", "defer", "out of scope", "fast-follow", "future phase", "descope", "weeks", "months", "sprint", "MVP gating".
Constraints: 400-600 words. Start with the dimension that has the most critical gap. Every non-green dimension MUST include a concrete improvement that preserves all features.
Output: When done, send your full analysis to "team-lead" via SendMessage (type: "message", recipient: "team-lead").
Structure:
- Value Clarity — score + justification + fix if not green
- Value Timeline — score + justification + fix if not green
- Value Perception — score + justification + fix if not green
- Value Discovery — score + justification + fix if not green
- Overall Assessment — 1 paragraph summary + top recommendation
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.
- 1mo ago First seen · 38 lines · 22 tokens per session scan A 1d458768c6d7
value-analyst is an agent published in the GitHub repository southlab-ai/Claude-Plugin-Marketplace (3 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 644 once invoked, about $0.0001 per session on Opus 5.5. 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.
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