Continuous-Claude-v3 is a Claude Code development environment that preserves working context between sessions, coordinates specialized agents, and stores project knowledge through ledgers, handoffs, and analysis tools. It is for people using Claude Code on ongoing or complex software work. Its catalogue entries are the skills, agents, hooks, plugin, and setting that provide its workflows and orchestration.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3npx agentmods add skills/parcadei/continuous-claude-v3/research-externalWrote 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/parcadei/continuous-claude-v3/research-external)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/research-external"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/research-external/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/parcadei/continuous-claude-v3/research-external"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/research-external.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 4 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00018 | $0.02926 |
| Opus 5 | $0.00009 | $0.01463 |
| Sonnet 5 | $0.00004 | $0.00585 |
| Haiku 4.5 | $0.00002 | $0.00293 |
Grade A, and why
research-external 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 9d 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 — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.
External Research Workflow
Research external sources (documentation, web, APIs) for libraries, best practices, and general topics.
Note: The current year is 2025. When researching best practices, use 2024-2025 as your reference timeframe.
Invocation
/research-external <focus> [options]
Question Flow (No Arguments)
If the user types just /research-external with no or partial arguments, guide them through this question flow. Use AskUserQuestion for each phase.
Phase 1: Research Type
question: "What kind of information do you need?"
header: "Type"
options:
- label: "How to use a library/package"
description: "API docs, examples, patterns"
- label: "Best practices for a task"
description: "Recommended approaches, comparisons"
- label: "General topic research"
description: "Comprehensive multi-source search"
- label: "Compare options/alternatives"
description: "Which tool/library/approach is best"
Mapping:
- "How to use library" → library focus
- "Best practices" → best-practices focus
- "General topic" → general focus
- "Compare options" → best-practices with comparison framing
Phase 2: Specific Topic
question: "What specifically do you want to research?"
header: "Topic"
options: [] # Free text input
Examples of good answers:
- "How to use Prisma ORM with TypeScript"
- "Best practices for error handling in Python"
- "React vs Vue vs Svelte for dashboards"
Phase 3: Library Details (if library focus)
If user selected library focus:
question: "Which package registry?"
header: "Registry"
options:
- label: "npm (JavaScript/TypeScript)"
description: "Node.js packages"
- label: "PyPI (Python)"
description: "Python packages"
- label: "crates.io (Rust)"
description: "Rust crates"
- label: "Go modules"
description: "Go packages"
Then ask for specific library name if not already provided.
Phase 4: Depth
question: "How thorough should the research be?"
header: "Depth"
options:
- label: "Quick answer"
description: "Just the essentials"
- label: "Thorough research"
description: "Multiple sources, examples, edge cases"
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.
- 9d ago First seen · 449 lines · 18 tokens per session scan A ec4c586e6e85
research-external is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,938 stars, last pushed 7mo ago), licensed MIT. It adds 18 tokens to every session and 2,926 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
fizzy-workflow
Use for guided Fizzy.do workflows: "set up Fizzy", "configure Fizzy for this project", "sync my work to Fizzy", "review my Fizzy progress", "end of session cleanup". Provides step-by-step guidance for common operations.
make-skill
Use when creating, improving, comparing, evaluating, reviewing or packaging Agent Skills following the agentskills.io specification. Also use when deciding whether a skill is the right solution vs MCP servers, Claude Rules Files, CLAUDE.md or AGENTS.md. Handles SKILL.md authoring, frontmatter optimization, description…
test-ts
Write, review, and run TypeScript/React tests for this Next.js 16 App Router project. Use whenever writing or modifying .test.ts or .test.tsx files, adding test coverage to components, hooks, Server Actions, or utilities, setting up Vitest configuration, or asked about testing strategy. Covers Vitest (the project's…
isolate-cli
Run a third-party CLI as a subprocess without leaking into it or leaving state on the host, and prove both. Use when a script or skill shells out to an external tool, when a run must leave no trace outside the repository, when private input (a diff, a prompt, a credential) must not reach the tool's session log, when a…
check-dependabot
Validate a Dependabot configuration against the published JSON Schema and audit its groups against the repository's real dependency manifests. Use when creating or rewriting .github/dependabot.yml, when adding or reorganising groups, ignore or exclude-patterns, when a dependency lands in the wrong grouped PR or keeps…
review-impl
Review implementation changes for a given task against architectural standards. Use when reviewing a PR, evaluating recently committed code, assessing whether implementation changes are correct and architecturally sound, or when asked to 'review my changes', 'check this implementation', 'review what I built', 'is this…