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 personamanagmentlayer/pcl --skill pcl-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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/personamanagmentlayer/pcl/pcl-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/pcl-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/pcl-expert/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/personamanagmentlayer/pcl/pcl-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/pcl-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 135 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00073 | $0.02621 |
| Opus 5 | $0.00036 | $0.01311 |
| Sonnet 5 | $0.00015 | $0.00524 |
| Haiku 4.5 | $0.00007 | $0.00262 |
Grade A, and why
pcl-expert 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 4d 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 — 465 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PCL Expert
Master expert in Persona Control Language (PCL) - a domain-specific programming language and compiler for AI persona management. Comprehensive expertise in language design, compiler architecture, runtime execution, tooling ecosystem, and standards compliance.
Advanced Features
Adaptive Intelligence (Phase 1.2)
// Learning and optimization systems
interface AdaptiveIntelligence {
// Memory management
memory: {
store: MemoryStorage;
manager: MemoryManager;
knowledgeSharing: KnowledgeSharing;
};
// Analytics and insights
analytics: {
performanceTracker: PerformanceTracker;
trendAnalyzer: TrendAnalyzer;
analyticsStore: AnalyticsStore;
};
// Intelligent routing
routing: {
router: IntelligentRouter;
taskClassifier: TaskClassifier;
};
// Response caching
cache: {
responseCache: ResponseCache;
semanticMatcher: SemanticMatcher;
};
// A/B testing
experiments: {
manager: ExperimentManager;
variantSelector: VariantSelector;
resultsAnalyzer: ResultsAnalyzer;
};
// Confidence scoring
confidence: {
scorer: ConfidenceScorer;
signalCollector: SignalCollector;
calibration: CalibrationEngine;
};
// Context management
context: {
windowManager: ContextWindowManager;
deduplication: Deduplication;
prioritization: Prioritization;
threading: Threading;
};
// Escalation management
escalation: {
manager: EscalationManager;
triggers: EscalationTriggers;
};
// Team optimization
teams: {
outcomeTracker: OutcomeTracker;
weightAdapter: WeightAdapter;
};
}
HTTP Registry Server
// REST API for remote artifact management
class HTTPRegistryServer {
// Express-based HTTP server
// OpenAPI/Swagger documentation
// JWT authentication
// Rate limiting
// CORS support
// Compression (gzip, brotli)
// Security headers (Helmet)
routes: {
// Authentication
'POST /auth/register': RegisterHandler;
'POST /auth/login': LoginHandler;
'POST /auth/refresh': RefreshTokenHandler;
'POST /auth/logout': LogoutHandler;
// Artifacts
'GET /artifacts': ListArtifactsHandler;
'GET /artifacts/:name': GetArtifactHandler;
'POST /artifacts': PublishArtifactHandler;
'PUT /artifacts/:name': UpdateArtifactHandler;
'DELETE /artifacts/:name': DeleteArtifactHandler;
// Versions
'GET /artifacts/:name/versions': ListVersionsHandler;
'GET /artifacts/:name/versions/:version': GetVersionHandler;
// Search
'GET /search': SearchHandler;
'GET /search/suggestions': SuggestionsHandler;
// Metrics & Health
'GET /metrics': MetricsHandler;
'GET /health': HealthCheckHandler;
'GET /profiler': ProfilerHandler;
};
}
What ships with it
2 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.
- 4d ago Changed · -439 lines · +46 tokens per session 15d2bea4f715
- 6d ago First seen · 904 lines · 27 tokens per session scan A a7907b136a43
pcl-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 2d ago), licensed Apache-2.0. It adds 73 tokens to every session and 2,621 once invoked, about $0.0004 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 2026-09-03.
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migrate-oxlint
Guide for migrating a project from ESLint to Oxlint. Use when asked to migrate, convert, or switch a JavaScript/TypeScript project's linter from ESLint to Oxlint.
performance-lint-rules
Performance review guidance for Oxc linter rule implementations. Use only when reviewing Rust rule code under crates/oxclinter/src/rules/ or when explicitly auditing those rules for performance improvements.
code-to-diagram
Analyze codebases and automatically generate architecture diagrams, flowcharts, and org charts. Uses AST parsing to map import dependencies for Python, JS/TS, Go, and Java, outputting Mermaid or SVG files. Triggered when users ask to visualize code architecture, understand dependencies, draw a flowchart, or create a…
output
Import and use Kubb's generated code (types, clients, hooks, schemas, mocks). Use when writing app or test code that consumes a Kubb build.
detecting-languages
Use when the user wants to know which programming language a file or snippet is. Covers implicit detection in ts-pack parse/process, confirming support with ts-pack list/info, and the SDK detection functions for path, extension, and raw content.