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 skills add joaquimscosta/arkhe-claude-plugins --skill adrgit clone --depth 1 https://github.com/joaquimscosta/arkhe-claude-pluginsWrote 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/joaquimscosta/arkhe-claude-plugins/adr)<a href="https://agentmods.dev/skills/joaquimscosta/arkhe-claude-plugins/adr"><img src="https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/adr/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/joaquimscosta/arkhe-claude-plugins/adr"><img src="https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/adr.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 | $0.00078 | $0.02227 |
| Opus 5 | $0.00039 | $0.01113 |
| Sonnet 5 | $0.00016 | $0.00445 |
| Haiku 4.5 | $0.00008 | $0.00223 |
Grade A, and why
adr 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 10d 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADR Manager
Create and manage Architecture Decision Records following project conventions with automatic numbering and index maintenance.
Argument Parsing
When invoked explicitly with /adr <action>, parse the first word:
| First word | Remaining args | Operation |
|---|---|---|
create |
<title> |
Create a new ADR with the given title |
review |
<path> |
Lightweight quality review of an ADR |
status |
<number> <status> |
Transition ADR status with validation and side effects |
list |
(none) | List all ADRs (same as running adr_index.py --dry-run) |
supersede |
<old-number> <new-number> |
Supersede an old ADR with a new one |
index |
(none) | Regenerate the README.md index |
| (empty) | Auto-detect from conversation context |
If the first word doesn't match an action, treat the entire $ARGUMENTS as a title and default to create.
When auto-invoked (no explicit /adr command), detect the operation from conversation context as before.
Auto-Invoke Triggers
This skill automatically activates when:
- Keywords: "ADR", "architecture decision", "document this decision", "record the decision"
- Editing ADR files: Files in
docs/adr/,doc/adr/,architecture/decisions/,.adr/ - Discussing architectural choices: Framework selection, technology decisions, pattern choices
What This Skill Delivers
1. ADR Creation (Enhanced)
- Gather context from conversation, codebase, and existing ADRs
- Confirm decision topic with user before drafting
- Auto-detect project's ADR directory and template style
- Auto-number ADRs (scan existing, increment)
- Draft populated ADR with real content (not blank template)
- Always append Author's Notes section (2-5 items)
- Offer MADR 4.0 enhancements as optional additions
- Suggest
/adr review <path>after creation
2. Directory Discovery
Search order for ADR directories:
docs/adr/doc/adr/architecture/decisions/.adr/- Create
docs/adr/if none exists
What ships with it
6 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.
- 10d ago First seen · 260 lines · 78 tokens per session scan A 317b4ddd5cb6
adr is a skill published in the GitHub repository joaquimscosta/arkhe-claude-plugins (21 stars, last pushed 26d ago), licensed MIT. It adds 78 tokens to every session and 2,227 once invoked, about $0.0004 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.
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