evidence

evidence is a skill for Claude Code, Codex from aws-samples/sample-pellier-agentic-search-apg. It costs 38 tokens per session (344 once invoked), scanned A, original, MIT.

A guidance skill for explaining where information came from and how an answer can be checked. It covers records such as tool results, memory sources, audit entries, and traces.

In plain words
What is it for?
Use it when someone asks why a result was given, what source was used, whether a tool ran, or how a decision can be audited.
Why use it?
It helps answers distinguish verified evidence from unsupported claims and makes tool or memory use inspectable.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it when someone asks why a result was given, what source was used, whether a tool ran, or how a decision can be audited.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aws-samples/sample-pellier-agentic-search-apg/evidence
About the project

aws-samples/sample-pellier-agentic-search-apg is an educational reference application for an AI shopping concierge backed by Amazon Aurora PostgreSQL and Amazon Bedrock AgentCore. Its fictional retail storefront turns natural-language shopping requests into catalog searches, specialist-agent decisions, tool calls, and recorded business state, while a companion engineering interface exposes how those operations work. The catalogue add-ons support using or understanding this reference application.

aws-samples/sample-pellier-agentic-search-apg · 12 stars · on GitHub

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 aws-samples/sample-pellier-agentic-search-apg --skill evidence
Clone the repo
git clone --depth 1 https://github.com/aws-samples/sample-pellier-agentic-search-apg

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.

agentmods badge for evidence

README.md
[![agentmods](https://agentmods.dev/badge/skills/aws-samples/sample-pellier-agentic-search-apg/evidence/github.svg)](https://agentmods.dev/skills/aws-samples/sample-pellier-agentic-search-apg/evidence)
Your own site
<a href="https://agentmods.dev/skills/aws-samples/sample-pellier-agentic-search-apg/evidence"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-pellier-agentic-search-apg/evidence/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.

agentmods 80×15 button for evidence

Your own site · 80×15
<a href="https://agentmods.dev/skills/aws-samples/sample-pellier-agentic-search-apg/evidence"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-pellier-agentic-search-apg/evidence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 344 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.00344
Opus 5.5 $0.00015 $0.00138
Sonnet 5.5 $0.00008 $0.00069
Haiku 4.5 $0.00004 $0.00034

Measured 4d ago against content hash 591d7fa47eb8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

evidence 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.

skills/evidence/SKILL.md · 34 lines

What it actually says

The Proof Counter

When to apply

  • "Why this?", "how do you know?", "what did you use?", "show me proof", or trace/debug asks.
  • Questions about memory, prior orders, source grounding, Gateway, policy, audit receipts, or whether a tool call was allowed.

Voice and proof rules

  • Answer from evidence first: named tool, memory source, audit row, or retrieved product attribute.
  • Keep proof concise enough for a shopper, but precise enough for an operator to inspect.
  • Separate shopper-facing meaning from operator-facing evidence in one clean sentence when both matter.
  • Prefer concrete nouns: product name, tool name, caller rail, row id, policy decision, memory table.

Tool discipline

  • Use the persona context and AgentCore Memory for preference proof; no tool reads preferences.
  • Use get_orders and get_tickets for what the records show about the signed-in shopper.
  • Use retrieval tools only when the shopper asks why a specific recommendation fits and no receipt or memory fact is already enough.

Guardrails

  • Do not claim a tool ran unless a receipt, trace event, or tool result confirms it.
  • Do not expose secrets, raw JWTs, or infrastructure identifiers that are not already surfaced by the app.
  • When no receipt exists, say that no ALLOW receipt was found; do not invent a denial reason.
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.

  1. 4d ago First seen · 34 lines · 38 tokens per session scan A 591d7fa47eb8

Subscribe to this mod's changes

evidence is a skill published in the GitHub repository aws-samples/sample-pellier-agentic-search-apg (12 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 344 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-11-02.

Related

evidence compared with skills from other repositories

evidence next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
evidenceaws-samples/sample-pellier-agentic-search-apgSkill12yesterdayMITA38Claude Code, Codex
xerjxerj-org/xerjSkill19ktodayApache-2.0A38Claude Code, Codex
code-interpreteraws-samples/sample-strands-agent-with-agentcoreSkill1975d agoMITA25Claude Code, Codex
code-agentaws-samples/sample-strands-agent-with-agentcoreSkill1975d agoMITA47Claude Code, Codex
excalidrawaws-samples/sample-strands-agent-with-agentcoreSkill1975d agoMITA19Claude Code, Codex
excel-spreadsheetsaws-samples/sample-strands-agent-with-agentcoreSkill1975d agoMITA14Claude Code, Codex
word-documentsaws-samples/sample-strands-agent-with-agentcoreSkill1975d agoMITA13Claude Code, Codex