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 commands/brennercruvinel/ccplugins/predict-issuesgit clone --depth 1 https://github.com/brennercruvinel/CCPluginsWhat 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 | $0.00000 | $0.00617 |
| Opus 5 | $0.00000 | $0.00309 |
| Sonnet 5 | $0.00000 | $0.00123 |
| Haiku 4.5 | $0.00000 | $0.00062 |
Grade A, and why
predict-issues 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Predictive Code Analysis
I'll analyze your codebase to predict potential problems before they impact your project.
Strategic Thinking Process
-
Pattern Recognition
- Which code patterns commonly lead to problems?
- Are there growing complexity hotspots?
- Do I see anti-patterns that will cause issues at scale?
- Are there ticking time bombs (hardcoded values, assumptions)?
-
Risk Assessment Framework
- Likelihood: How probable is this issue to occur?
- Impact: How severe would the consequences be?
- Timeline: When might this become a problem?
- Effort: How hard would it be to fix now vs later?
-
Common Problem Categories
- Performance: O(n²) algorithms, memory leaks, inefficient queries
- Maintainability: High complexity, poor naming, tight coupling
- Security: Input validation gaps, exposed secrets, weak auth
- Scalability: Hardcoded limits, single points of failure
-
Prediction Strategy
- Start with highest risk areas (critical path code)
- Look for patterns that break at 10x, 100x scale
- Check for technical debt accumulation
- Identify brittleness in integration points
Based on this analysis framework, I'll use native tools for comprehensive analysis:
- Grep tool to search for problematic patterns
- Glob tool to analyze file structures and growth
- Read tool to examine complex functions and hotspots
I'll examine:
- Code complexity trends and potential hotspots
- Performance bottleneck patterns forming
- Maintenance difficulty indicators
- Architecture stress points and scaling issues
- Error handling gaps
For each prediction, I'll:
- Show specific code locations with file references
- Explain why it's likely to cause future issues
- Estimate potential timeline and impact
- Suggest preventive measures with priority levels
When I find multiple issues, I'll create a todo list for systematic review and prioritization.
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 · 79 lines · 0 tokens per session scan A 6c00718f4541
predict-issues is a command published in the GitHub repository brennercruvinel/CCPlugins (2,780 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 617 tokens. 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.
Other commands, from other repositories
README
Git workflow and quality assurance commands for the claude-skills repository.
convert-to-todowrite-tasklist-prompt
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security-audit
Perform a comprehensive security audit of the codebase to identify potential vulnerabilities, insecure patterns, and security best practice violations.
save
Save a key-value memory entry to persistent storage.
medical-necessity
Generate medical necessity letters citing chiropractic clinical guidelines for insurance authorization and appeals.
rfi-response
Compose professional RFI responses with technical clarifications, drawing references, and resolution documentation.