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 completion-checkgit 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/completion-check)<a href="https://agentmods.dev/skills/parcadei/continuous-claude-v3/completion-check"><img src="https://agentmods.dev/badge/skills/parcadei/continuous-claude-v3/completion-check.svg" alt="Measured on agentmods" 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 | $0.00691 |
| Opus 5 | $0.00005 | $0.00345 |
| Sonnet 5 | $0.00002 | $0.00138 |
| Haiku 4.5 | $0.00001 | $0.00069 |
Grade B, and why
completion-check scanned grade B with 1 finding 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 8d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
grep "my-hook" .claude/settings.json Copies of this mod
1 near-identical copy found in the catalogue:
- completion-check — 100% identical, 202 lines differ
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Completion Check: Verify Infrastructure Is Wired
When building infrastructure, verify it's actually connected to the system before marking as complete.
Pattern
Infrastructure is not done when the code is written - it's done when it's wired into the system and actively used. Dead code (built but never called) is wasted effort.
DO
-
Trace the execution path - Follow from user intent to actual code execution:
# Example: Verify Task tool spawns correctly grep -r "claude -p" src/ grep -r "Task(" src/ -
Check hooks are registered, not just implemented:
# Hook exists? ls -la .claude/hooks/my-hook.sh # Hook registered in settings? grep "my-hook" .claude/settings.json -
Verify database connections - Ensure infrastructure uses the right backend:
# Check connection strings grep -r "postgresql://" src/ grep -r "sqlite:" src/ # Should NOT find if PostgreSQL expected -
Test end-to-end - Run the feature and verify infrastructure is invoked:
# Add debug logging echo "DEBUG: DAG spawn invoked" >> /tmp/debug.log # Trigger feature uv run python -m my_feature # Verify infrastructure was called cat /tmp/debug.log -
Search for orphaned implementations:
# Find functions defined but never called ast-grep --pattern 'async function $NAME() { $$$ }' | \ xargs -I {} grep -r "{}" src/
DON'T
- Mark infrastructure "complete" without testing execution path
- Assume code is wired just because it exists
- Build parallel systems (Task tool vs claude -p spawn)
- Use wrong backends (SQLite when PostgreSQL is architected)
- Skip end-to-end testing ("it compiles" ≠ "it runs")
Completion Checklist
Before declaring infrastructure complete:
- Traced execution path from entry point to infrastructure
- Verified hooks are registered in .claude/settings.json
- Confirmed correct database/backend in use
- Ran end-to-end test showing infrastructure invoked
- Searched for dead code or parallel implementations
- Checked configuration files match implementation
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.
- 8d ago First seen · 102 lines · 10 tokens per session scan B 28875343522f
completion-check is a skill published in the GitHub repository parcadei/Continuous-Claude-v3 (3,937 stars, last pushed 7mo ago), licensed MIT. It adds 10 tokens to every session and 691 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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.
triage-issue
Use when user reports a bug, wants to file an issue, mentions "triage", when investigating a production problem before fixing it, when planning a fix that needs a TDD-shaped GitHub issue, or when a bug needs root-cause analysis before assignment.