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 secondsky/claude-skills --skill cloudflare-d1git clone --depth 1 https://github.com/secondsky/claude-skillsWrote 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/secondsky/claude-skills/cloudflare-d1)<a href="https://agentmods.dev/skills/secondsky/claude-skills/cloudflare-d1"><img src="https://agentmods.dev/badge/skills/secondsky/claude-skills/cloudflare-d1/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/secondsky/claude-skills/cloudflare-d1"><img src="https://agentmods.dev/badge/skills/secondsky/claude-skills/cloudflare-d1.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00039 | $0.04076 |
| Opus 5.5 | $0.00016 | $0.01630 |
| Sonnet 5.5 | $0.00008 | $0.00815 |
| Haiku 4.5 | $0.00004 | $0.00408 |
Grade A, and why
cloudflare-d1 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 — 642 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cloudflare D1 Database
Status: Production Ready ✅ | Last Verified: 2025-01-15
Table of Contents
- What Is D1?
- Quick Start
- Critical Rules
- D1 API Methods
- Top 5 Use Cases
- Migrations Best Practices
- Common Patterns
- SQLite Type Affinity
- Top 5 Errors Prevented
What Is D1?
Cloudflare D1 is serverless SQLite on the edge:
- SQL database without servers
- Global distribution
- Zero cold starts
- Standard SQLite syntax
- Read replication for global performance
🆕 New in 2025
D1 received major updates throughout 2025:
Performance (January 2025)
- 40-60% latency reduction globally (P50 query times)
- Optimized SQLite engine for edge execution
- Reduced cold start impact for databases <100 MB
Reliability (September 2025)
- Automatic query retries: Read queries retry up to 2x on transient failures
- Transparent to application code (logged in
wrangler tail)
Scalability (April 2025)
- Read Replication (Public Beta): Deploy read replicas globally
- Up to 2x read throughput for read-heavy workloads
- Sessions API for read-write separation
Compliance (November 2025)
- Data Localization: Specify EU/US jurisdiction for GDPR/data sovereignty
- Configure via
--jurisdictionflag or wrangler.jsonc
⚠️ Breaking Change (February 10, 2025)
- Free tier hard limits enforced: 10 DBs, 500 MB each, 50 queries/invocation
- Exceeding limits = 429 errors (previously warnings only)
- Action: Review usage with
wrangler d1 listand upgrade if needed
Full details: Load references/2025-features.md
Quick Start (5 Minutes)
1. Create Database
bunx wrangler d1 create my-database
Save the database_id from output!
2. Configure Binding
Add to wrangler.jsonc:
What ships with it
10 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.
- references/2025-features.md 16 KB
- references/best-practices.md 34 KB
- references/limits.md 13 KB
- references/metrics-analytics.md 19 KB
- references/query-patterns.md 21 KB
- references/read-replication.md 20 KB
- references/setup-guide.md 3.0 KB
- templates/d1-setup-migration.sh 4.5 KB runs code
- templates/d1-worker-queries.ts 16 KB runs code
- templates/schema-example.sql 8.0 KB
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 · 642 lines · 39 tokens per session scan A 5adfa227eabe
cloudflare-d1 is a skill published in the GitHub repository secondsky/claude-skills (236 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 4,076 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
decide
A reusable decision procedure, and a copyable prototype for the guard that encodes it — derive the population, set one threshold by what being wrong costs, name the offender, and break it once to prove it can fail. Use when writing a check, guard, gate or validation of any kind, or when deciding whether something is…
remember
Record why something is the way it is — a decision and its reasoning, a lesson that cost time, or a standing constraint. Use when the reasoning behind a choice would be expensive to reconstruct later.
bootstrap
Set up chamnan in this repository for the first time — build the architecture index, measure how well the code describes itself, fill in missing file comments, and record a baseline. Run once per repo.
milestone
Record a change that reshaped the repository — what moved, why it was worth doing, and which areas it touched. Use after a migration, a rewrite, or a decision that changed how part of the system works.
resume
Write down where this stretch of work stopped, so the next session continues instead of restarting. Use at the end of a working session, or when handing the repository to someone else.
review
Review a change with what this repository knows about it — who depends on the file, which tests cover it, what broke here before, and what the repo has written down. Use before approving a diff, opening a PR, or when asked to review.