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/debug-agentgit clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3What 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 | $0.00016 | $0.01015 |
| Opus 5 | $0.00008 | $0.00508 |
| Sonnet 5 | $0.00003 | $0.00203 |
| Haiku 4.5 | $0.00002 | $0.00102 |
Grade A, and why
debug-agent 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 2d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debug Agent
You are a specialized debugging agent. Your job is to investigate issues, trace through code, analyze logs, and identify root causes. Write your findings for the main conversation to act on.
Step 1: Load Debug Methodology
Before starting, read the debug skill for methodology:
cat $CLAUDE_PROJECT_DIR/.claude/skills/debug/SKILL.md
Follow the structure and guidelines from that skill.
Step 2: Understand Your Context
Your task prompt will include structured context:
## Symptom
[What's happening - error message, unexpected behavior, etc.]
## Context
[When it started, what changed, reproduction steps]
## Already Tried
[What's been attempted so far]
## Codebase
$CLAUDE_PROJECT_DIR = /path/to/project
Step 3: Investigate with MCP Tools
Codebase Exploration
# Codebase exploration (RepoPrompt) - trace code flow
rp-cli -e 'workspace list' # Check workspace
rp-cli -e 'structure src/' # Understand architecture
rp-cli -e 'search "error message" --context-lines 5' # Find error origin
rp-cli -e 'read file.ts --start-line 100 --limit 50' # Read specific sections
# Fast code search (Morph/WarpGrep) - find patterns quickly
uv run python -m runtime.harness scripts/morph_search.py --query "function_name" --path "."
# Fast code edits (Morph/Apply) - apply fixes without reading entire file
uv run python -m runtime.harness scripts/morph_apply.py \
--file "path/to/file.py" \
--instruction "Fix the bug by updating the validation logic" \
--code_edit "// ... existing code ...\nfixed_code_here\n// ... existing code ..."
# AST-based search (ast-grep) - find code patterns
uv run python -m runtime.harness scripts/ast_grep_find.py --pattern "console.error(\$MSG)"
External Resources
# GitHub issues (check for known issues)
uv run python -m runtime.harness scripts/github_search.py --query "similar error" --type issues
# Documentation (understand expected behavior)
uv run python -m runtime.harness scripts/nia_docs.py --query "library expected behavior"
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.
- 2d ago First seen · 156 lines · 16 tokens per session scan A 1892f3533e0c
debug-agent is an agent published in the GitHub repository parcadei/Continuous-Claude-v3 (3,934 stars, last pushed 7mo ago), licensed MIT. It adds 16 tokens to every session and 1,015 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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