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.
npx agentmods add skills/harumiweb/exstruct/adr-reviewernpx skills add harumiWeb/exstruct --skill adr-reviewergit clone --depth 1 https://github.com/harumiWeb/exstructWrote 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/harumiweb/exstruct/adr-reviewer)<a href="https://agentmods.dev/skills/harumiweb/exstruct/adr-reviewer"><img src="https://agentmods.dev/badge/skills/harumiweb/exstruct/adr-reviewer.svg" alt="Measured on agentmods" 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 | $0.00066 | $0.00614 |
| Opus 5 | $0.00033 | $0.00307 |
| Sonnet 5 | $0.00013 | $0.00123 |
| Haiku 4.5 | $0.00007 | $0.00061 |
Grade A, and why
adr-reviewer 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 5d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADR Reviewer
Review the policy decision, not just the document shape.
Read
dev-docs/agents/adr-governance.mddev-docs/agents/adr-criteria.mddev-docs/agents/adr-workflow.mddev-docs/specs/adr-review.md- The target ADR draft
- Related ADRs, relevant public docs under
docs/when public API / CLI / MCP contracts are in scope, internal specs, tests, src paths, and issue / PR context - Existing
adr-linterfindings for the current draft
Workflow
- Confirm the current draft has no unresolved
adr-linterhigh/mediumfindings. Only proceed with design review after that precondition is met. - Read the ADR draft and identify the single policy question it is trying to resolve.
- Check whether the draft overlaps with, contradicts, or should supersede an existing ADR or spec.
- Verify that the cited
Tests,Code, andRelated specsactually support the claims being made, and include relevant publicdocs/pages in scope when the ADR touches public API / CLI / MCP contracts. - Review whether compatibility, rollout, fallback, migration, or safety consequences are covered when relevant.
- Detect human-owned decisions that AI should not settle, including public API break judgment, security or license calls, major directory reorganization, or unresolved product/spec direction.
- Return one verdict:
readyreviseescalate
Output Contract
Return findings first, ordered by severity, and include:
verdictscopedraftrelated ADRspublic docsspecssrctestsissue / PR context
findings
Each finding should include:
typedecision-gapscope-conflictevidence-riskrollout-gapownership-escalation
severitysummarywhy it matterssuggested revisionevidencedraftrelated sources
Also include top-level:
open questionsresidual risks
What ships with it
1 file 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.
- 5d ago First seen · 70 lines · 66 tokens per session scan A 5e39ef81bf5e
adr-reviewer is a skill published in the GitHub repository harumiWeb/exstruct (196 stars, last pushed 2mo ago), licensed BSD-3-Clause. It adds 66 tokens to every session and 614 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 2026-08-30.
Other skills, from other repositories
xlsx
Read, create, and convert Microsoft Excel (.xlsx) and CSV spreadsheets — extract sheets and tables to JSON, build workbooks from JSON/CSV, and export to PDF.
pdf-table-to-excel
TablePack: Convert PDF tables to multi-sheet Excel packages with MinerU — original table screenshots, figures, QC notes, no fabricated data. Path A: existing MinerU users. Path B: run scripts/installmineru. first. REQUIRES multimodal/vision model for QC (open 原始表格/.jpg). Triggers: 转表格, 转excel, 转Excel, PDF表格…
subagent-driven-development
Execute plans via delegatetask subagents (2-stage review).
duckduckgo-search
Free keyless web, news, and image search via ddgs.
mcporter
List, auth, and call MCP servers/tools from the terminal.
article-writing
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.