What is evidence_pack?

A tool for checking saved evidence-pack JSON files without using a language model. An evidence pack is a stored collection of structured proof or verification records.

Use it to verify stored evidence-pack JSON artifacts.

It checks persisted evidence in a repeatable way without relying on model-generated judgment. The description does not state which checks it performs.

evidence_pack — Skill for Claude Code and Codex by peteromallet/Arnold

Install

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.

Any agent

npx skills add peteromallet/Arnold --skill evidence_pack

Clone the repo

git clone --depth 1 https://github.com/peteromallet/Arnold

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/peteromallet/arnold/evidence_pack/github.svg)](https://agentmods.dev/skills/peteromallet/arnold/evidence_pack)

Your own site

<a href="https://agentmods.dev/skills/peteromallet/arnold/evidence_pack"><img src="https://agentmods.dev/badge/skills/peteromallet/arnold/evidence_pack/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/peteromallet/arnold/evidence_pack"><img src="https://agentmods.dev/badge/skills/peteromallet/arnold/evidence_pack.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 80 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00000	$0.00080
Opus 5.5	$0.00000	$0.00032
Sonnet 5.5	$0.00000	$0.00016
Haiku 4.5	$0.00000	$0.00008

Measured 1mo ago against content hash 7ae2f8a0ab70, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

evidence_pack 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 1mo ago.

The scan reads SKILL.md. This mod also ships 6 executable files (__init__.py, native.py, pipeline.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

arnold_pipelines/evidence_pack/SKILL.md · 19 lines

What it actually says

Evidence-Pack Verifier Pipeline

Model-less verification of persisted evidence-pack JSON artifacts.

Topology

ingest -> content_validators (fanout) -> reduce -> human_review -> emit_attestation

Usage

from arnold_pipelines.evidence_pack import build_pipeline
from arnold.workflow import compile_pipeline

manifest = compile_pipeline(build_pipeline())

Files

What ships with it

7 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.

Changes

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.

1mo ago First seen · 19 lines · 0 tokens per session scan A 7ae2f8a0ab70

Subscribe to this mod's changes

evidence_pack is a skill published in the GitHub repository peteromallet/Arnold (98 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 80 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 2026-09-04.

Testing

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

cua-driver

Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.

davidondrej/skills · 68 tokens

evidence_pack