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 skills/mathews-tom/armory/package-evaluatornpx skills add Mathews-Tom/armory --skill package-evaluatorgit clone --depth 1 https://github.com/Mathews-Tom/armoryWrote 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/mathews-tom/armory/package-evaluator)<a href="https://agentmods.dev/skills/mathews-tom/armory/package-evaluator"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/package-evaluator.svg" alt="Measured on agentmods" 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 | $0.00064 | $0.04130 |
| Opus 5 | $0.00032 | $0.02065 |
| Sonnet 5 | $0.00013 | $0.00826 |
| Haiku 4.5 | $0.00006 | $0.00413 |
Grade A, and why
package-evaluator 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 5d 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 — 442 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Package Evaluator
Packages that do not activate on relevant queries waste the entire investment in writing them. A skill can have deep, well-structured content and still deliver zero value if its frontmatter description lacks the trigger phrases users actually type. An agent without a decision tree produces inconsistent results. A hook without a handler script is inert. Quality evaluation catches trigger gaps, missing sections, structural deficiencies, and shallow content before deployment — turning a package from a static document into a reliable tool.
Reference Files
| File | Contents |
|---|---|
references/evaluation-rubric.md |
Detailed 1-5 scoring criteria per dimension, weight justifications, type-specific criteria, worked examples for calibration |
Audit Modes
Two modes, selected by input:
- Quick Audit: Evaluate a single package. Produces a full per-dimension scored report with findings, severity classifications, and recommendations.
- Full Audit: Evaluate all packages in the repository. Produces a comparative ranking table sorted by overall score, plus condensed per-package summaries. Optionally filtered to a single package type.
Mode Selection
| Input | Mode |
|---|---|
| Path to a specific package directory or definition file | Quick Audit |
| "all", "every package", no path specified | Full Audit |
| "--type agents" or type filter | Full Audit filtered to one type |
| Multiple specific paths | Quick Audit for each, then comparative summary |
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.
- 5d ago First seen · 442 lines · 64 tokens per session scan A 5640de6e6ff2
package-evaluator is a skill published in the GitHub repository Mathews-Tom/armory (316 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 4,130 once invoked, about $0.0003 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 2026-08-30.
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