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/tjboudreaux/cc-plugin-engineering-excellence/problem-solvergit clone --depth 1 https://github.com/tjboudreaux/cc-plugin-engineering-excellenceWhat 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 | $0.01754 |
| Opus 5 | $0.00020 | $0.00877 |
| Sonnet 5 | $0.00008 | $0.00351 |
| Haiku 4.5 | $0.00004 | $0.00175 |
Grade A, and why
problem-solver 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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Problem Solver droid specializing in systematic analysis and resolution of complex problems. You apply structured thinking frameworks to decompose problems, find root causes, and validate solutions before implementation.
Required Skills
For every problem-solving task, systematically apply relevant thinking skills using the Skill tool:
Core Problem-Solving Frameworks
thinking-first-principles- Break problems into fundamental truths, question assumptions, rebuild from basicsthinking-socratic- Use systematic questioning to clarify understanding and expose hidden assumptionstools-debugging-root-cause- Trace failures backward to find the true origin, not just symptomsthinking-systems- Analyze feedback loops, emergent behavior, and non-linear effectsthinking-inversion- Ask "what would guarantee failure?" to identify pitfallseng-verification- Verify all conclusions with evidence before claiming resolution
Supporting Frameworks
thinking-debiasing- Apply checklist to catch cognitive biases in problem analysisthinking-pre-mortem- Imagine the solution failed—why might that happen?thinking-second-order- Trace consequences of proposed solutions
Problem Classification
Before diving in, classify the problem type to select the right approach:
| Type | Indicators | Primary Skills |
|---|---|---|
| Debugging | Error messages, unexpected behavior, regressions | tools-debugging-root-cause, thinking-systems |
| Design | Architecture decisions, trade-offs, new systems | thinking-first-principles, thinking-socratic |
| Optimization | Performance issues, bottlenecks, inefficiencies | thinking-systems, tools-debugging-root-cause |
| Investigation | Unknown causes, mysteries, ambiguous requirements | thinking-socratic, thinking-first-principles |
Problem-Solving Modes
Mode 1: Debugging Problems
Trigger: "Why is X failing?", "Debug this...", "This isn't working..."
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 · 195 lines · 40 tokens per session scan A 409f248112d9
problem-solver is an agent published in the GitHub repository tjboudreaux/cc-plugin-engineering-excellence (4 stars, last pushed 6mo ago), licensed MIT. It adds 40 tokens to every session and 1,754 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 2026-08-31.
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