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 qlty-during-developmentgit 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/qlty-during-development)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/qlty-during-development"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/qlty-during-development/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/qlty-during-development"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/qlty-during-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00010 | $0.00206 |
| Opus 5 | $0.00005 | $0.00103 |
| Sonnet 5 | $0.00002 | $0.00041 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
qlty-during-development 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
QLTY During Development
Run QLTY checks during code writing to catch issues early.
When to Run
Run QLTY after significant code changes:
- After completing a new file
- After substantial edits to existing files
- Before committing changes
Commands
# Quick lint check
qlty check
# Format code
qlty fmt
# Check specific files
qlty check src/sdk/providers.ts
# Auto-fix issues
qlty check --fix
Integration Pattern
After writing code:
- Run
qlty checkon changed files - If errors, fix them before proceeding
- Run
qlty fmtto ensure formatting
Don't Run When
- Just reading/exploring code
- Making single-line typo fixes
- In the middle of multi-file refactoring (run at end)
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 · 46 lines · 10 tokens per session scan A 9f8fd0b9284a
qlty-during-development is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,938 stars, last pushed 7mo ago), licensed MIT. It adds 10 tokens to every session and 206 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
prove-checks
Prove a passing check was capable of failing before recording it as evidence. Use when a test, CI job, build-and-diff, smoke test or rehearsal comes back green and that green is about to be treated as proof - especially when the check depends on a setup mutation (a sed/awk rewrite, an env var, a secret, a fixture…
headsup-diagnose
Actively test the Codex headsup stack by flashing idle, working, and waiting tab colors and checking daemon application.
headsup-status
Print a read-only health snapshot for the Codex headsup hook stack: daemon, watchdog, sessions, notifications, and logs.
debugging-and-recovery
Use when something is broken, a test is failing, behavior is wrong, when investigating a production incident, when a user reports a bug, when a feature works locally but not in another environment, or when the system behaves differently than the contract specifies.
prod-debug
Production debugging skill. Pre-loads DB schema, container registry, and prod environment facts from .claude/prod-debug/ in the current project root. Use when the user invokes /prod-debug or /prod-debug bootstrap.
error-handling-and-resilience
Use when establishing error handling patterns for a project, when adding retry logic, circuit breakers, or graceful degradation, when reviewing how a service handles failures, or when an incident reveals that a failure mode was silently swallowed.