Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Buildwise-Studios/claude-for-hk-lawnpx agentmods add skills/buildwise-studios/claude-for-hk-law/tabular-reviewWrote 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/skills/buildwise-studios/claude-for-hk-law/tabular-review)<a href="https://agentmods.dev/skills/buildwise-studios/claude-for-hk-law/tabular-review"><img src="https://agentmods.dev/badge/skills/buildwise-studios/claude-for-hk-law/tabular-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.
<a href="https://agentmods.dev/skills/buildwise-studios/claude-for-hk-law/tabular-review"><img src="https://agentmods.dev/badge/skills/buildwise-studios/claude-for-hk-law/tabular-review.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 | $0.00124 | $0.04044 |
| Opus 5.5 | $0.00050 | $0.01618 |
| Sonnet 5.5 | $0.00025 | $0.00809 |
| Haiku 4.5 | $0.00012 | $0.00404 |
Grade A, and why
tabular-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 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.
This is a copy
95% identical to tabular-review — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/tabular-review
- Load
~/.claude/plugins/config/claude-for-hk-law/corporate-legal/CLAUDE.md→ diligence structure, thresholds, house format. - Confirm: what documents, what columns, where does the output go.
- Build the typed schema. Write
.review-schema.yaml. Confirm with the user. - Sample run (3–5 docs). Adjust schema. Confirm.
- Fan out — one sub-agent per document, parallel. Each cell: value + state + verbatim quote + location.
- Normalization pass. Flag outliers and inconsistencies.
- Output:
.xlsxor Google Sheets (ask which), plus.csv+_sources.csv+ markdown always. Work-product header. - Summary: verification workload (counts of not_present / unclear / needs_review per column), flagged columns, where the files are, reminder that every cell is a lead not a finding.
/corporate-legal:tabular-review
/corporate-legal:tabular-review --schema .review-schema.yaml --docs ./vdr/02-Contracts/
/corporate-legal:tabular-review --template ma-diligence
--schema <path>: Use an existing schema file instead of building one. Useful for re-runs and incremental additions.
--template <name>: Start from a template in references/. Currently: ma-diligence.
--docs <path>: Document source. A local folder, a Drive folder ID, or a VDR path. If omitted, asks.
--output <xlsx|gsheets|csv>: Output format. If omitted, asks.
--sample <n>: Sample size for the schema check. Default 5.
Matter context
Matter context. Check ## Matter workspaces in the practice-level CLAUDE.md. If Enabled is ✗ (the default for in-house users), skip the rest of this paragraph — skills use practice-level context and the matter machinery is invisible. If enabled and there is no active matter, ask: "Which matter is this for? Run /corporate-legal:matter-workspace switch <slug> or say practice-level." Load the active matter's matter.md for matter-specific context and overrides. Write outputs to the matter folder at ~/.claude/plugins/config/claude-for-hk-law/corporate-legal/matters/<matter-slug>/. Never read another matter's files unless Cross-matter context is on.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 236 lines · 124 tokens per session scan A f2730bde2089
tabular-review is a skill published in the GitHub repository Buildwise-Studios/claude-for-hk-law (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 124 tokens to every session and 4,044 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to tabular-review, differing in 10 lines, and is treated as a copy.
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