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
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 parcadei/Continuous-Claude-v3 --skill nia-docsgit clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3Wrote 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/nia-docs)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/nia-docs"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/nia-docs/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/nia-docs"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/nia-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00013 | $0.00443 |
| Opus 5 | $0.00006 | $0.00221 |
| Sonnet 5 | $0.00003 | $0.00089 |
| Haiku 4.5 | $0.00001 | $0.00044 |
Grade A, and why
nia-docs 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.
What it actually says
Nia Documentation Search
Search across 3000+ packages (npm, PyPI, Crates, Go) and indexed sources for documentation and code examples.
Usage
Semantic search in a package
uv run python -m runtime.harness scripts/mcp/nia_docs.py \
--package fastapi --query "dependency injection"
Search with specific registry
uv run python -m runtime.harness scripts/mcp/nia_docs.py \
--package react --registry npm --query "hooks patterns"
Grep search for specific patterns
uv run python -m runtime.harness scripts/mcp/nia_docs.py \
--package sqlalchemy --grep "session.execute"
Universal search across indexed sources
uv run python -m runtime.harness scripts/mcp/nia_docs.py \
--search "error handling middleware"
Options
| Option | Description |
|---|---|
--package |
Package name to search in |
--registry |
Registry: npm, py_pi, crates, go_modules (default: npm) |
--query |
Semantic search query |
--grep |
Regex pattern to search |
--search |
Universal search across all indexed sources |
--limit |
Max results (default: 5) |
Examples
# Python library usage
uv run python -m runtime.harness scripts/mcp/nia_docs.py \
--package pydantic --registry py_pi --query "validators"
# React patterns
uv run python -m runtime.harness scripts/mcp/nia_docs.py \
--package react --query "useEffect cleanup"
# Find specific function usage
uv run python -m runtime.harness scripts/mcp/nia_docs.py \
--package express --grep "app.use"
Requires NIA_API_KEY in environment or nia server in mcp_config.json.
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 · 65 lines · 13 tokens per session scan A 79dccf9465a0
nia-docs is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,938 stars, last pushed 7mo ago), licensed MIT. It adds 13 tokens to every session and 443 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.
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