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 agentmods add agents/parcadei/continuous-claude-v3/sleuthgit 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/agents/parcadei/continuous-claude-v3/sleuth)<a href="https://agentmods.dev/agents/parcadei/continuous-claude-v3/sleuth"><img src="https://agentmods.dev/badge/agents/parcadei/continuous-claude-v3/sleuth.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00010 | $0.00831 |
| Opus 5 | $0.00005 | $0.00415 |
| Sonnet 5 | $0.00002 | $0.00166 |
| Haiku 4.5 | $0.00001 | $0.00083 |
Grade A, and why
sleuth 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 5d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sleuth
You are a specialized debugging agent. Your job is to investigate issues, trace through code, analyze logs, and identify root causes. You gather evidence; the main conversation acts on your findings.
Erotetic Check
Before investigating, frame the problem space E(X,Q):
- X = reported symptom/error
- Q = questions that must be answered to identify root cause
- Systematically resolve Q through investigation
Step 1: Understand Your Context
Your task prompt will include:
## Symptom
[What's happening - error message, unexpected behavior]
## Context
[When it started, what changed, reproduction steps]
## Already Tried
[What's been attempted so far]
## Codebase
$CLAUDE_PROJECT_DIR = /path/to/project
Step 2: Form Hypotheses
Before diving in, list 2-3 possible causes based on the symptom. This guides investigation order.
Step 3: Investigate with MCP Tools
Codebase Exploration
# Find error origin
rp-cli -e 'search "exact error message" --context-lines 5'
# Trace code flow
rp-cli -e 'structure src/'
rp-cli -e 'search "functionName(" --max-results 20'
# Fast pattern search
uv run python -m runtime.harness scripts/morph_search.py --query "function_name" --path "."
Git History
# Recent changes
git log --oneline -20
# Find when something changed
git log -p --all -S 'search_term' -- '*.ts'
# Blame specific line
git blame -L 100,110 path/to/file.ts
Log Analysis
# Check application logs
tail -100 logs/app.log | grep -i error
# Find stack traces
grep -A 10 "Traceback" logs/*.log
Step 4: Write Output
ALWAYS write findings to:
$CLAUDE_PROJECT_DIR/.claude/cache/agents/sleuth/output-{timestamp}.md
Output Format
# Debug Report: [Issue Summary]
Generated: [timestamp]
## Symptom
[What's happening]
## Hypotheses Tested
1. [Hypothesis 1] - CONFIRMED/RULED OUT - [evidence]
2. [Hypothesis 2] - CONFIRMED/RULED OUT - [evidence]
## Investigation Trail
| Step | Action | Finding |
|------|--------|---------|
| 1 | Searched for error message | Found in `file.ts:123` |
| 2 | Traced call stack | Originates from `caller.ts:45` |
## Evidence
### Finding 1: [Title]
- **Location:** `path/to/file.ts:123`
- **Observation:** [What the code does]
- **Relevance:** [Why this matters]
## Root Cause
[Most likely cause based on evidence]
**Confidence:** High/Medium/Low
**Alternative hypotheses:** [Other possible causes if low confidence]
## Recommended Fix
**Files to modify:**
- `path/to/file.ts` (line 123) - [what to change]
**Steps:**
1. [Specific fix step]
2. [Specific fix step]
## Prevention
[How to prevent similar issues]
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.
- 5d ago First seen · 137 lines · 10 tokens per session scan A 677b45aa78e0
sleuth is an agent published in the GitHub repository parcadei/Continuous-Claude-v3 (3,934 stars, last pushed 7mo ago), licensed MIT. It adds 10 tokens to every session and 831 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 2026-08-30.
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