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 G1Joshi/Agent-Skills --skill couchdbgit clone --depth 1 https://github.com/G1Joshi/Agent-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/g1joshi/agent-skills/couchdb)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/couchdb"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/couchdb/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/g1joshi/agent-skills/couchdb"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/couchdb.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00040 | $0.01139 |
| Opus 5.5 | $0.00016 | $0.00456 |
| Sonnet 5.5 | $0.00008 | $0.00228 |
| Haiku 4.5 | $0.00004 | $0.00114 |
Grade B, and why
couchdb scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -X PUT "http://127.0.0.1:5984/mydb/doc1" -H "Content-Type: application/json" -d "{"_rev": "$REV", "title": "Updated Document", "status": "resolved"}" Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X PUT http://admin:[email protected]:5984/my_database/doc1 \ How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apache CouchDB
CouchDB is a database that completely embraces the web. It speaks JSON and HTTP. It is unique for its multi-master replication protocol, making it ideal for "Offline First" apps.
When to Use
- Offline-First Synchronized Web & Mobile Apps: Pairing with PouchDB in web browsers to enable full offline operation with automated background sync.
- RESTful HTTP Document Storage: Accessing and mutating JSON documents purely through standard HTTP verbs without proprietary drivers.
- Append-Only Document Versioning: Tracking document revision histories and managing conflicting edits explicitly.
- Distributed Peer-to-Peer Replication: Replicating databases bidirectionally across edge servers, embedded devices, and cloud nodes.
Quick Start
# Create a document via REST API
curl -X PUT http://admin:[email protected]:5984/my_database/doc1 \
-d '{"key": "value"}'
Core Concepts
Pure HTTP/RESTful Interface
Every database operation maps directly to standard HTTP methods:
# 1. Create a document
curl -X POST http://admin:[email protected]:5984/mydb \
-H "Content-Type: application/json" \
-d '{"title": "Offline-First Architectures", "status": "published"}'
# Returns: {"ok": true, "id": "8f3d1e1c...", "rev": "1-a1b2c3d4..."}
# 2. Retrieve document by ID
curl -X GET http://admin:[email protected]:5984/mydb/8f3d1e1c...
Multiversion Concurrency Control (MVCC) & Revisions (_rev)
Updating documents requires passing the active revision tag to prevent accidental overwrites:
# Update requires passing latest _rev token
curl -X PUT http://admin:[email protected]:5984/mydb/8f3d1e1c... \
-H "Content-Type: application/json" \
-d '{"_rev": "1-a1b2c3d4...", "title": "Updated Title", "status": "draft"}'
Bi-Directional Master-Master Replication
Syncs databases seamlessly between independent nodes:
// POST to /_replicate
{
"source": "http://edge-node.local:5984/pos_sales",
"target": "https://admin:[email protected]:5984/pos_sales",
"continuous": true,
"create_target": true
}
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.
- 22d ago Changed 7661c904ef85
- 27d ago Changed · +57 lines · +22 tokens per session scan A → B 9262979460a6
- 1mo ago First seen · 53 lines · 18 tokens per session scan A 30eb37794173
couchdb is a skill published in the GitHub repository G1Joshi/Agent-Skills (15 stars, last pushed 23d ago), licensed MIT. It adds 40 tokens to every session and 1,139 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
deprecation-and-migration
Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when migrating a database schema in production, such as renaming or dropping a column without downtime (expand/contract). Use when deciding whether to maintain or sunset…
awesome-database-audit
Read-only audit of a database layer: schema anti-patterns, query and index fit, integrity, concurrency, migrations, tenancy, with a verdict. Use when asked to review a schema, migrations or data model.
data-engineering
Guides data pipeline design, ETL/ELT workflows, schema evolution, and data quality assurance. Use when building data pipelines, designing data warehouses, migrating schemas, or ensuring data integrity across systems. Use when you need reliable, testable, and observable data flows.
context-engineering
Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.
doubt-driven-development
Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when you want every assumption cross-examined before proceeding, when stress-testing a plan for hidden failure modes, when correctness matters more than speed, when working in unfamiliar code, when stakes are high…
observability-and-instrumentation
Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.