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 dungnotnull/export-pharma-packaging-compliance-agent-skill --skill export-pharma-packaging-compliance-agent-skillgit clone --depth 1 https://github.com/dungnotnull/export-pharma-packaging-compliance-agent-skillWrote 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/dungnotnull/export-pharma-packaging-compliance-agent-skill/export-pharma-packaging-compliance-agent-skill)<a href="https://agentmods.dev/skills/dungnotnull/export-pharma-packaging-compliance-agent-skill/export-pharma-packaging-compliance-agent-skill"><img src="https://agentmods.dev/badge/skills/dungnotnull/export-pharma-packaging-compliance-agent-skill/export-pharma-packaging-compliance-agent-skill/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/dungnotnull/export-pharma-packaging-compliance-agent-skill/export-pharma-packaging-compliance-agent-skill"><img src="https://agentmods.dev/badge/skills/dungnotnull/export-pharma-packaging-compliance-agent-skill/export-pharma-packaging-compliance-agent-skill.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 | $0.00109 | $0.03544 |
| Opus 5 | $0.00055 | $0.01772 |
| Sonnet 5 | $0.00022 | $0.00709 |
| Haiku 4.5 | $0.00011 | $0.00354 |
Grade A, and why
export-pharma-packaging-compliance 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 10d 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 — 504 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL.md - Skill Registry & Execution Guide
Skill Overview
export-pharma-packaging-compliance is a production-grade harness for Pharmaceutical Packaging Regulatory Compliance analysis. It transforms Claude into a domain expert that delivers structured, evidence-backed outputs through a systematic orchestration of specialized sub-skills.
Skill Registration
Skill Metadata
| Property | Value |
|---|---|
| Name | export-pharma-packaging-compliance |
| Version | 1.0.0 |
| Type | Domain Analysis Harness |
| Domain | Pharmaceutical Packaging Regulatory Compliance |
| Primary Trigger | /export-pharma-packaging-compliance |
| Secondary Triggers | "pharma packaging compliance", "export packaging regulations", "DSCSA", "FMD", "ISO 15378" |
Entry Point
The skill is invoked via the main harness in skills/main.md. All execution flows through this orchestrator.
Architecture Pattern
Modular Chain-of-Thought Routing
The skill uses a sequential step-based routing pattern with explicit quality gates between each step:
User Input
↓
[Pre-Flight: Language Detection]
↓
Step 1: Requirements Gathering
↓ [Gate: Object Confirmed]
Step 2: Evidence Collection
↓ [Gate: Current Data + 1 Authoritative Doc]
Step 3: Core Analysis
↓ [Gate: Barrier/CR/Serialization/GMP]
Step 4: Knowledge Query
↓ [Gate: ≥1 Academic Source]
Step 5: Advisory Synthesis
↓ [Gate: Verdict Category + Disclosure]
Step 6: Quality Gate Review
↓ [Gates U1-U6, G1-G4]
Final Output
Graceful Degradation
The skill implements 5-level degradation:
- Level 0: Full analysis (all sources available)
- Level 1: Partial source failure (substitute with flag)
- Level 2: Most sources failed (knowledge base only)
- Level 3: Missing inputs (proceed with flags)
- Level 4: Complete failure (emit "DATA UNAVAILABLE")
Error Recovery
8 error types with explicit recovery strategies and retry limits.
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.
- 10d ago First seen · 504 lines · 109 tokens per session scan A db9ee6351c69
export-pharma-packaging-compliance is a skill published in the GitHub repository dungnotnull/export-pharma-packaging-compliance-agent-skill (5 stars, last pushed 1mo ago), licensed MIT. It adds 109 tokens to every session and 3,544 once invoked, about $0.0005 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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