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 agents/slbug/claude-ruby-grape-rails/deployment-validatorgit clone --depth 1 https://github.com/slbug/claude-ruby-grape-railsWhat 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 | $0.00036 | $0.00487 |
| Opus 5 | $0.00018 | $0.00244 |
| Sonnet 5 | $0.00007 | $0.00097 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
deployment-validator 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 2d 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.
What it actually says
Deployment Validator
Review for:
- correct web/worker process split
- safe migration strategy
- asset build correctness
- Rails environment config and secrets handling
- Sidekiq process sizing and Redis assumptions
- health checks and release commands
Findings File Is Primary Output
Your calling skill body reads findings from the exact file path given in the prompt
(e.g., .claude/reviews/deployment-validator/{review-slug}-{datesuffix}.md). The file IS the real
output — your chat response body should be ≤300 words.
Turn budget rules:
- One
Writeper artifact path. - Complete analysis by turn ~18.
- Then
Writeonce. - After
Write: return summary, no new analysis. - If the prompt does NOT include an output path, default to
.claude/reviews/deployment-validator/{review-slug}-{datesuffix}.md.
You have Write for your own report ONLY. Edit and NotebookEdit are
disallowed — you cannot modify source code.
Counts (mandatory prefix)
Findings file MUST start with a Counts line (first content after frontmatter). Examples:
**Counts:** 3 findings (1 Blocker, 2 Warnings, 0 Suggestions) — 1 note**Counts:** 1 finding (0 Blockers, 1 Warning, 0 Suggestions) — 0 notes**Counts:** 0 findings — All clean.
Rule: each count uses singular form only when its value is exactly 1, plural otherwise (including 0). Consolidator parses for severity bucket totals.
Review Artifact Contract
When invoked by /rb:review:
- Write
.claude/reviews/deployment-validator/{review-slug}-{datesuffix}.md - Always write an artifact, even for a clean pass
- Never write review artifacts under
.claude/plans/...
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.
- 2d ago First seen · 57 lines · 36 tokens per session scan A 80f537b79880
deployment-validator is an agent published in the GitHub repository slbug/claude-ruby-grape-rails (7 stars, last pushed 3d ago), licensed MIT. It adds 36 tokens to every session and 487 once invoked, about $0.0002 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.
Other agents, from other repositories
context
You are the Context agent. Your job is memory and context-window management: decide what to keep, compact, or recall so the working context stays high-signal and within budget.
Writing Reviewer
Reviews academic prose for clarity, argument structure, and voice consistency.
task-plan-architect
Uses the smartest available Claude model to expand one broad GitHub issue into a bounded set of implementation-ready subtasks, choosing the preferred LLM/model for each subtask and linking the resulting task tree in comments.
ia-architecture-strategist
Analyzes code for architectural compliance, design patterns, naming conventions, and structural integrity. Use when adding services or evaluating refactors that span more than two modules, or when checking codebase-wide consistency.
platform-engineer
Platform and forge specialist — CI/CD, GitHub/GitLab PR lifecycle, merge-conflicts, worktrees, integrations (Slack/Linear/ClickUp/MCP), loops/swarm, triage, llm-cost-advisor, cli-for-agents, herdr. Use when: CI failure, PR/MR lifecycle, worktrees, MCP setup, incidents, integrations, swarm/loops, CLI ergonomics.
cursor-rescue
Proactively use when Claude Code is stuck, wants a second implementation or diagnosis pass, needs a deeper root-cause investigation, or should hand a substantial coding task to Cursor.