How should deep-current be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

deep-current answer-first brief

Persistent research thread manager with a CLI for tracking topics, notes, sources, and findings. Pair with a nightly cron job to build a personal research digest over time. The shipped code is a local Python CLI for thread management — research is performed by the agent using its standard web_search and web_fetch tools. --- name: deep-current description: Persistent research thread manager with a CLI for tracking topics, notes, sources, and findings. Pair with a nightly cron job to build a personal research digest over time. The shipped code is a local Python CLI for thread management — research is performed by the agent using its standard web_search and web_fetch tools. --- Deep Current A research thread manager for agents. Track t Published capability contract available. No trust telemetry is available yet. Last updated 3/1/2026.

Freshness

Last checked 3/1/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

deep-current is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 89/100

deep-current

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Mar 1, 2026

Verifiededitorial-contentNo verified compatibility signals

Published capability contract available. No trust telemetry is available yet. Last updated 3/1/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Mar 1, 2026

Vendor

Meimakes

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. Last updated 3/1/2026.

View Source

Setup snapshot

git clone https://github.com/meimakes/deep-current.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Meimakes

profilemedium

Observed Mar 1, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium

Observed Feb 24, 2026Source link Provenance

Auth modes

api_key

contracthigh

Observed Feb 24, 2026Source link Provenance

Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh

Observed Feb 24, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

Examples

Snippets

Languages

typescript

Parameters

Executable Examples

bash

mkdir -p deep-current

json

{
  "threads": []
}

text

You are running a Deep Current research session.

1. Run `python3 scripts/deep-current.py list` to see all active threads.
2. Run `python3 scripts/deep-current.py covered` to see topics and URLs already covered in recent reports. AVOID repeating these.
3. Pick TWO threads based on current relevance — check recent context to decide.
4. For each thread, use web_search and web_fetch to research the topic. Follow interesting links and cross-reference claims. Find NEW angles, developments, or sources not already covered.
5. Update each thread with notes/sources/findings using the deep-current.py CLI.

## Output Format
Create a new file in deep-current-reports/ named YYYY-MM-DD.md:

# Deep Current — [tonight's date]
## [catchy title for thread 1]
[findings with inline source links]
## [catchy title for thread 2]
[findings with inline source links]

Keep it dense and interesting. No fluff. Link to sources. Flag anything actionable.

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

name: deep-current description: Persistent research thread manager with a CLI for tracking topics, notes, sources, and findings. Pair with a nightly cron job to build a personal research digest over time. The shipped code is a local Python CLI for thread management — research is performed by the agent using its standard web_search and web_fetch tools.

Deep Current

A research thread manager for agents. Track topics you care about, accumulate notes and sources over time, and pair with a scheduled cron job to produce regular research digests.

Architecture

This skill ships one component: a Python CLI (scripts/deep-current.py) that manages research threads as local JSON data. It handles:

Creating, listing, and updating research threads
Storing notes, sources, and findings per thread
Thread lifecycle (active/paused/resolved) and decay

What this skill does NOT ship: web search, link following, or report generation. Those capabilities come from the agent's built-in tools (web_search, web_fetch). The cron job prompt instructs the agent to use those tools to research threads, then write findings to a report file.

In short: the CLI manages what to research. The agent's existing tools do the how.

How It Works

Threads — Long-running research topics stored in deep-current/currents.json
Nightly job — A cron job tells the agent which threads to research (agent uses its own web_search/web_fetch tools)
Reports — Each night's findings are written to deep-current-reports/YYYY-MM-DD.md (one file per run)
Thread CLI — Manage threads between sessions (add, note, source, finding, status)

Setup

1. Create data directory

mkdir -p deep-current

2. Initialize currents.json

{
  "threads": []
}

3. Schedule the cron job

Create an isolated cron job that runs nightly. The agent will use its own web_search and web_fetch tools to research each thread, then use the CLI to record findings. Example prompt:

You are running a Deep Current research session.

1. Run `python3 scripts/deep-current.py list` to see all active threads.
2. Run `python3 scripts/deep-current.py covered` to see topics and URLs already covered in recent reports. AVOID repeating these.
3. Pick TWO threads based on current relevance — check recent context to decide.
4. For each thread, use web_search and web_fetch to research the topic. Follow interesting links and cross-reference claims. Find NEW angles, developments, or sources not already covered.
5. Update each thread with notes/sources/findings using the deep-current.py CLI.

## Output Format
Create a new file in deep-current-reports/ named YYYY-MM-DD.md:

# Deep Current — [tonight's date]
## [catchy title for thread 1]
[findings with inline source links]
## [catchy title for thread 2]
[findings with inline source links]

Keep it dense and interesting. No fluff. Link to sources. Flag anything actionable.

Recommended: run at 1-3am, use a capable model, 30min timeout.

Thread CLI

Manage research threads with scripts/deep-current.py:

| Command | Purpose | |---------|---------| | list | Show all threads with status | | show <id> | Full thread details | | add <title> | Create new thread | | note <id> <text> | Add dated research note | | source <id> <url> [desc] | Add source/reference | | finding <id> <text> | Record key finding | | status <id> <active\|paused\|resolved> | Change thread status | | digest | Summary of all active threads | | decay | Prune stale threads (>90 days inactive + no recent notes) | | covered [days] | Show topics & URLs from recent reports (default 14 days) to avoid duplication |

Thread IDs are auto-generated slugs from the title. Prefix matching works for short IDs.

Report Format

Each run creates a standalone file in deep-current-reports/YYYY-MM-DD.md. Each report contains:

Date header
2+ research threads with catchy titles
Dense findings with inline source links
Actionable flags for anything the user should act on

One file per run — easy to browse, search, or archive.

Research Quality Guidelines

When running a research session (nightly or manual), the agent should:

Use web_search to find sources, web_fetch to read them
Cross-reference claims across multiple sources
Cite sources inline with markdown links
Flag actionable items explicitly
Write for a smart reader — dense, no filler
Use catchy thread titles (this is morning reading, make it engaging)
Distinguish speculation from sourced facts

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

ready

Auth

api_key

Streaming

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.

Trust confidence is not low and verification freshness is acceptable.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/meimakes-deep-current/snapshot"

curl -s "https://xpersona.co/api/v1/agents/meimakes-deep-current/contract"

curl -s "https://xpersona.co/api/v1/agents/meimakes-deep-current/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITHUB_REPOSactivepieces

Rank

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW

GITHUB_REPOScherry-studio

Rank

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW

GITHUB_REPOSAionUi

Rank

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW

GITHUB_REPOSCopilotKit

Rank

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW

Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/meimakes/deep-current#input",
  "outputSchemaRef": "https://github.com/meimakes/deep-current#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:41:43.093Z",
  "sourceUpdatedAt": "2026-02-24T19:41:43.093Z",
  "freshnessSeconds": 4420078
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/meimakes-deep-current/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/meimakes-deep-current/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/meimakes-deep-current/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/meimakes-deep-current/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/meimakes-deep-current/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/meimakes-deep-current/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:29:41.614Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Meimakes",
    "href": "https://github.com/meimakes/deep-current",
    "sourceUrl": "https://github.com/meimakes/deep-current",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-03-01T06:01:42.670Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/meimakes-deep-current/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/meimakes-deep-current/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:41:43.093Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/meimakes-deep-current/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/meimakes-deep-current/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:41:43.093Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/meimakes/deep-current#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/meimakes-deep-current/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:41:43.093Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/meimakes-deep-current/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/meimakes-deep-current/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]