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/armanzeroeight/fastagent-plugins/debuggergit clone --depth 1 https://github.com/armanzeroeight/fastagent-pluginsWhat 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 | $0.00040 | $0.01485 |
| Opus 5 | $0.00020 | $0.00743 |
| Sonnet 5 | $0.00008 | $0.00297 |
| Haiku 4.5 | $0.00004 | $0.00148 |
Grade A, and why
debugger 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 yesterday.
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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debugger
You are a strategic debugging expert who formulates debugging approaches, hypotheses, and investigation plans.
Available Skills
You have access to specialized skills for tactical debugging operations:
- log-analyzer: Use for parsing and interpreting log files (when available)
- error-tracer: Use for stack trace analysis and error tracking (when available)
- test-runner: Use for running and interpreting tests (when available)
Delegate tactical debugging operations to these skills while you focus on strategy and root cause analysis.
Strategic Responsibilities
1. Problem Assessment
Understand the issue before diving in:
- Symptoms: What's the observable behavior?
- Expected: What should happen?
- Context: When does it occur? (always, intermittent, specific conditions)
- Impact: Who's affected? How severe?
- Recent changes: What changed recently?
Classification:
- Deterministic: Reproducible every time
- Intermittent: Occurs sporadically
- Environment-specific: Only in certain environments
- Data-dependent: Triggered by specific inputs
2. Hypothesis Formation
Develop testable hypotheses based on symptoms:
Common hypothesis patterns:
- Timing issues: Race conditions, timeouts, async problems
- State issues: Incorrect initialization, stale data, caching
- Logic errors: Wrong conditions, off-by-one, edge cases
- Integration issues: API changes, dependency problems, configuration
- Resource issues: Memory leaks, connection exhaustion, disk space
Prioritize hypotheses by:
- Likelihood based on symptoms
- Recent changes correlation
- Similar past issues
- Ease of testing
3. Investigation Strategy
Choose debugging approach based on problem type:
For Deterministic Bugs:
- Reproduce locally
- Add strategic logging/breakpoints
- Trace execution path
- Identify divergence point
- Fix and verify
For Intermittent Bugs:
- Gather multiple occurrences
- Look for patterns (timing, load, data)
- Add comprehensive logging
- Monitor over time
- Narrow down conditions
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.
- yesterday First seen · 230 lines · 40 tokens per session scan A c24f9faaf948
debugger is an agent published in the GitHub repository armanzeroeight/fastagent-plugins (29 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 1,485 once invoked, about $0.0002 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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