Borrowing it
Nothing to install: this file belongs to lowtidebuild/contract-review. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lowtidebuild/contract-review/main/.claude/skills/review-domain-knowledge/SKILL.mdgit clone --depth 1 https://github.com/lowtidebuild/contract-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/lowtidebuild/contract-review/review-domain-knowledge)<a href="https://agentmods.dev/skills/lowtidebuild/contract-review/review-domain-knowledge"><img src="https://agentmods.dev/badge/skills/lowtidebuild/contract-review/review-domain-knowledge/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/lowtidebuild/contract-review/review-domain-knowledge"><img src="https://agentmods.dev/badge/skills/lowtidebuild/contract-review/review-domain-knowledge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.01557 |
| Opus 5.5 | $0.00000 | $0.00623 |
| Sonnet 5.5 | $0.00000 | $0.00311 |
| Haiku 4.5 | $0.00000 | $0.00156 |
Grade A, and why
review-domain-knowledge 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.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
review-domain-knowledge Skill
Domain knowledge for contract review and drafting: classification, analysis, comment generation, and contract generation.
References
Detailed domain knowledge is in the references/ directory:
domain-policy.md— Folder schema, ingestion policy, document lifecyclereview-guide.md— Review judgment criteria, risk grading, analysis methodologyaudience-firewall.md— External/internal content separation rulesdrafting-guide.md— Contract generation checklists, Korean law baselines, drafting rules
CRITICAL: Reference Files Are Loaded via Forced-Load Protocol (v2.2)
The reference files above are not background context you should recall from training. They are the authoritative source of user-customized judgment criteria, risk baselines, and firewall rules. They WILL diverge from your pretrained knowledge.
For the review workflow, reference files are loaded via the Domain Reference Forced-Load Architecture:
-
Hook path (primary):
.claude/hooks/inject-domain-references.shdetects review workflow keywords in the user prompt and injects a[BLOCKING PRECONDITION]instruction telling the LLM to runbash .claude/scripts/load-domain-references.sh review --mode=digestas its first action. The digest verifies hashes and available headings; the agent loads specific sections on demand with--mode=section. -
AGENT.md fallback (secondary):
review-agent/AGENT.mdPre-Pipeline 0 uses the explicitCONTRACT_REVIEW_SESSION_ID/ pipeline-state session id and runs the digest loader itself if the root hook path did not provide a usable trace. Do not discover traces by recency. -
Forensic trace: Every loader invocation writes
loaded.json(mode + byte_size + sha256 + headings + session_id).compile-report.jsreads this at Step 10 and appends aBaselines applied: ...line to the Executive Summary. If the trace is missing, a review-invalid warning is appended instead.
Do not cite the four-lens framework, Common Law baselines, jurisdiction flags, or EPC block from training. Cite them only after the relevant reference section has been loaded by load-domain-references.sh --mode=section or, when necessary, --mode=full. A digest alone proves availability; it is not a substitute for section text during substantive analysis.
What ships with it
5 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 · 136 lines · 0 tokens per session scan A 2a3164d1953c
review-domain-knowledge is a skill published in the GitHub repository lowtidebuild/contract-review (41 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,557 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.
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