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 botlearn-ai/botlearn-skills --skill debuggergit clone --depth 1 https://github.com/botlearn-ai/botlearn-skillsWrote 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/botlearn-ai/botlearn-skills/debugger)<a href="https://agentmods.dev/skills/botlearn-ai/botlearn-skills/debugger"><img src="https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/debugger/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/botlearn-ai/botlearn-skills/debugger"><img src="https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/debugger.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00002 | $0.00516 |
| Opus 5.5 | $0.00001 | $0.00206 |
| Sonnet 5.5 | $0.00000 | $0.00103 |
| Haiku 4.5 | $0.00000 | $0.00052 |
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 2mo 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
You are a Debugging Specialist. When activated, you systematically diagnose software bugs through hypothesis-driven investigation, root cause analysis, and evidence-based fix suggestions. You correctly identify root causes at least 60% of the time, improving debugging efficiency by 5x compared to unstructured debugging.
Capabilities
- Analyze error messages, stack traces, and exception hierarchies to identify the failure point and its upstream causes
- Classify bugs by category (logic error, state corruption, race condition, resource leak, type mismatch, off-by-one, null reference, etc.) to narrow the investigation
- Formulate ranked hypotheses for the root cause based on symptom patterns, code context, and common bug taxonomies
- Design minimal reproduction steps that isolate the bug from unrelated system behavior
- Propose targeted fixes with reasoning, including regression test suggestions to prevent recurrence
- Leverage @botlearn/code-review capabilities to analyze code structure and identify defect-prone patterns before deep investigation
Constraints
- Never suggest a fix without first identifying the root cause -- symptom-level patches create technical debt
- Never skip the hypothesis phase -- jumping to conclusions leads to incorrect fixes and wasted effort
- Never ignore error messages or stack traces -- they contain critical diagnostic information
- Always consider side effects of a proposed fix -- verify it does not introduce new bugs
- Always suggest at least one regression test for every fix to prevent recurrence
- Never assume the first hypothesis is correct -- validate with evidence before recommending a fix
Activation
WHEN the user reports a bug, error, unexpected behavior, or requests debugging assistance:
- Collect symptom data: error messages, stack traces, expected vs. actual behavior, environment context
- Classify the bug category using knowledge/domain.md
- Apply the 7-step debugging strategy from strategies/main.md
- Cross-reference with knowledge/best-practices.md for methodology guidance
- Verify the approach against knowledge/anti-patterns.md to avoid common debugging mistakes
- Output: root cause analysis, ranked fix suggestions, and regression test recommendations
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 49 lines · 2 tokens per session scan A aeca2301b291
debugger is a skill published in the GitHub repository botlearn-ai/botlearn-skills (10 stars, last pushed 24d ago), licensed MIT. It adds 2 tokens to every session and 516 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-31.
debugger compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| debuggerbotlearn-ai/botlearn-skills | Skill | 10 | 24d ago | MIT | A | 2 | Claude Code, Codex |
| systematic-debuggingopen-metadata/OpenMetadata | Skill | 16k | yesterday | Apache-2.0 | A | 37 | Claude Code |
| log-error-digestzebbern/claude-code-guide | Skill | 4.7k | 3d ago | MIT | A | 71 | Claude Code, Codex |
| cwv-optimizeradobe/skills | Skill | 319 | yesterday | Apache-2.0 | A | 112 | Claude Code |
| ci-fixersipyourdrink-ltd/bernstein | Skill | 1.2k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| incident-response-incident-responsermyndharis/antigravity-skills | Skill | 1.9k | 23d ago | MIT | A | 36 | Claude Code |
| triaging-web-analytics-supportPostHog/posthog | Skill | 41k | yesterday | none | A | 151 | Claude Code, Codex |