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 skills/artesiana/agent2/debugging-agentsnpx skills add Artesiana/agent2 --skill debugging-agentsgit clone --depth 1 https://github.com/Artesiana/agent2What 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 | $0.00045 | $0.00883 |
| Opus 5 | $0.00023 | $0.00441 |
| Sonnet 5 | $0.00009 | $0.00177 |
| Haiku 4.5 | $0.00005 | $0.00088 |
Grade A, and why
debugging-agents scanned grade A 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:<port>/health How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debugging Agents
Overview
Systematic diagnosis for Agent2 agent problems. Most issues are config, imports, or missing infrastructure — not code bugs.
When to Activate
- Agent returns 500 errors or problem+json responses
- Agent returns mock data when you expect real LLM output
- Agent Docker container won't start or isn't healthy
- Agent doesn't find knowledge collections
- Agent output doesn't match expected schema
- Tests pass but Docker agent fails
Diagnostic Flowchart
Agent not working?
├─ Returns mock data? → Check OPENROUTER_API_KEY (is it set? valid?)
├─ 500 error? → Check logs: docker compose logs <agent-name>
├─ Container unhealthy? → Check Dockerfile (config copy? PYTHONPATH?)
├─ 401/403? → Check API_BEARER_TOKEN matches between client and .env
├─ Knowledge search empty? → Is R2R running? (--profile full) Were docs ingested?
├─ Schema validation error? → Agent output doesn't match output_type. Check prompt.
└─ Import error? → Check agent module structure (__init__.py, agent.py naming)
Quick Diagnosis Commands
# 1. Is the container running and healthy?
docker compose ps <agent-name>
# 2. What do the logs say?
docker compose logs <agent-name> --tail=50
# 3. Can you hit the health endpoint?
curl http://localhost:<port>/health
# 4. Does mock mode work? (tests framework without LLM)
curl -X POST http://localhost:<port>/tasks?mode=sync \
-H "Authorization: Bearer dev-token-change-me" \
-H "Content-Type: application/json" \
-d '{"input":{"text":"test"}}'
# 5. Are tests passing?
uv run pytest tests/ -v --tb=short
# 6. Is the Docker Compose config valid?
docker compose config --quiet
Common Issues
| Symptom | Cause | Fix |
|---|---|---|
_mock_reason: provider_auth_failed |
OPENROUTER_API_KEY is invalid | Get a fresh key from openrouter.ai/keys |
| Mock data returned, no error | OPENROUTER_API_KEY is empty | Set it in .env |
Could not import agent module |
Import path wrong in Docker | Check Dockerfile: COPY agents/<name>/ ./agent/ and PYTHONPATH=/app |
config.yaml not found |
Config not copied in Dockerfile | Add mkdir -p agents/<name> && cp agent/config.yaml agents/<name>/config.yaml |
toolsets=None error |
Passing None instead of empty list | Use toolsets=[] not toolsets=None |
| Knowledge search returns nothing | R2R not running or docs not ingested | docker compose --profile full up -d then python -m shared.ingest --all |
ProblemError 422 |
Input shape wrong | input must be a JSON object: {"input": {"text": "..."}} |
| Container exits immediately | Python import error | Run locally first: uv run python -c "from agents.<name>.agent import agent" |
| Schema validation retry loop | Agent output doesn't fit Pydantic model | Simplify schema, add clearer prompt instructions, check Field constraints |
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 · 88 lines · 45 tokens per session scan A c0e1524779ed
debugging-agents is a skill published in the GitHub repository Artesiana/agent2 (36 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 883 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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