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alpha-review

alpha-review is a skill for Claude Code from tonydzi/second-brain-starter-kit. It costs 67 tokens per session (744 once invoked), scanned A, original, MIT.

A local web screen for labelling evaluation results as keepers or misses and viewing accuracy for each miner. It starts or opens an existing review server and shows the current evaluation state.

In plain words
What is it for?
Use it to label results, inspect per-miner precision, and decide what to label next. After enough labels, it also shows a suggested detector adjustment and supports repeating the review cycle.
Why use it?
It gives you one place to review results and see which miners need more labels. The review runs locally, so the data stays on the machine.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the second-brain-skills plugin — 57 skills shipped together

not rated 5repo 9d ago A scan 67 tokens original MIT

Good fit Use it to label results, inspect per-miner precision, and decide what to label next. After enough labels, it also shows a suggested detector adjustment and supports repeating the review cycle.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tonydzi/second-brain-starter-kit/alpha-review
View source ↗ tonydzi/second-brain-starter-kit
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.

Any agent
npx skills add tonydzi/second-brain-starter-kit --skill alpha-review
Clone the repo
git clone --depth 1 https://github.com/tonydzi/second-brain-starter-kit

Made for: Claude Code.

Or install second-brain-skills, the plugin that ships this one along with the rest of its 57 skills.

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 alpha-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/alpha-review/github.svg)](https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/alpha-review)
Your own site
<a href="https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/alpha-review"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/alpha-review/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 alpha-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/alpha-review"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/alpha-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 744 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 $0.00067 $0.00744
Opus 5 $0.00034 $0.00372
Sonnet 5 $0.00013 $0.00149
Haiku 4.5 $0.00007 $0.00074

Measured 8d ago against content hash 4908b2d5b979, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

alpha-review 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 8d 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.

skills/alpha-review/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/alpha-review — the alpha selection screen in one command

The engine is already built (2026-06-18/20). This skill is launch + summary; it duplicates nothing.

Steps

  1. Is the server alive? netstat -ano | findstr :8772 (PowerShell) / netstat -ano | grep :8772 (bash).
    • Listening → jump to step 3.
  2. Start it (a fresh harvest runs inside): 
    cd /e/Obsidian/_imports/alpha && PYTHONIOENCODING=utf-8 python alpha_review_server.py --no-browser
    in the background (run_in_background). Manual alternative for the operator: double-click $IMPORTS_ROOT/alpha/alpha-review.cmd.
  3. Hand over the link: http://127.0.0.1:8772 — open in a browser (local only, nothing leaves the machine).
  4. Eval summary (0 LLM tokens): 
    PYTHONIOENCODING=utf-8 python $IMPORTS_ROOT/alpha/alpha_tune.py
    Show the operator: how much is labelled / per-miner precision / what to label first (uncertainty sampling: PARTIAL first). At >=8 labels per miner, tune names a concrete detector fix.
  5. Remind them of the loop: labels -> alpha_tune.py -> adjust the detector threshold/filter -> re-harvest -> re-label. Cards carry a batch badge (🆕 = fresh nightly batch).

Pitfalls

  • The DB is a cumulative INBOX of every nightly batch (not just the latest judged file) — "extra" items are not junk, they are an unlabelled backlog. Do not "fix" it.
  • An empty screen is not the same as no data: first check that the harvest actually ran (alpha_harvest.py prints counters) and that you are looking at the right drive (E:, not C:).
  • 🔒 Community-sourced cards are HIGH sensitivity: never screenshot the screen outside, and approach contacts value-first only (standing rule for elite crypto communities: zero cold DMs, value first).

About & contact

Built and battle-tested at Palo Alto AI Research Lab — a fleet of Claude Code machines running 24/7 as a second brain and synthetic cofounder. Every skill here survived real production use before publication.

Read the full file on GitHub · 50 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. 8d ago First seen · 50 lines · 67 tokens per session scan A 4908b2d5b979

Subscribe to this mod's changes

alpha-review is a skill published in the GitHub repository tonydzi/second-brain-starter-kit (5 stars, last pushed 9d ago), licensed MIT. It adds 67 tokens to every session and 744 once invoked, about $0.0003 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.

Analytics and metricsClaude Codeai-agentsknowledge-managementobsidianpersonal-knowledge-managementsecond-brain
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