s4h-investigation-source-trace

s4h-investigation-source-trace is a skill for Claude Code from human-avatar/skills-for-humanity. It costs 95 tokens per session (1,628 once invoked), scanned A, original, MIT.

A method for tracing a claim back to its earliest available source and checking what was originally said and supported.

In plain words
What is it for?
Use it to investigate who first made a claim, what evidence they used, and whether later summaries still represent it accurately.
Why use it?
It helps uncover missing caveats, changed wording, and exaggeration introduced as a claim is repeated.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the skills-for-humanity plugin — 197 skills, 1 hook shipped together

Good fit Use it to investigate who first made a claim, what evidence they used, and whether later summaries still represent it accurately.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/human-avatar/skills-for-humanity/s4h-investigation-source-trace
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 human-avatar/skills-for-humanity --skill s4h-investigation-source-trace
Clone the repo
git clone --depth 1 https://github.com/human-avatar/skills-for-humanity

Made for: Claude Code.

Or install skills-for-humanity, the plugin that ships this one along with the rest of its 197 skills, 1 hook.

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 s4h-investigation-source-trace

README.md
[![agentmods](https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-investigation-source-trace/github.svg)](https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-investigation-source-trace)
Your own site
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-investigation-source-trace"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-investigation-source-trace/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 s4h-investigation-source-trace

Your own site · 80×15
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-investigation-source-trace"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-investigation-source-trace.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,628 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00095 $0.01628
Opus 5 $0.00048 $0.00814
Sonnet 5 $0.00019 $0.00326
Haiku 4.5 $0.00010 $0.00163

Measured 9d ago against content hash 4860ac9017e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

s4h-investigation-source-trace 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 9d 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/s4h-investigation-source-trace/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Investigation: Source Trace

Most claims arrive pre-laundered. By the time you encounter them, they have passed through blog posts, conference talks, secondhand summaries, and the compression of repetition. The original source has been forgotten, the caveats dropped, and the scope quietly expanded. Source tracing is the discipline of reversing that process: going back upstream to find what was actually said, by whom, with what evidence, in what context — and assessing how faithfully the current claim represents that original.


Your Process

Step 1: Capture the Claim as Received Write out the claim exactly as you have encountered it. Note: who is asserting it now, in what context, and what confidence level they are expressing ("studies show" vs. "I've heard" vs. "it's well established that").

Framing check: Confirm the specific claim before continuing. State what you've identified — the actual claim being traced and the current form it takes — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the claim and its current form]. Is that right?"
  • Header: "Framing"
  • Options:
    • Yes — proceed — framing is correct
    • Adjust — one element is off; user will correct it before you continue
    • Reframe — different claim than read; incorporate the correction before proceeding

Step 2: Identify Potential Origin Points Work backward. What is the earliest source you can find for this claim? Strategies:

  • Search for the earliest publication or statement you can locate
  • Look for the claim's attributed origin (is someone cited? Is that citation accurate?)
  • Check whether the claim appears in academic literature, a specific study, a book, a news report, or originated as someone's opinion
  • Note any "citation laundering" — claims that cite a secondary source which itself doesn't cite a primary source

Step 3: Evaluate the Origin Source Once you have the earliest traceable source, assess it:

  • Who made the claim? What are their credentials, institutional affiliation, and potential biases?
  • When was it made? What was the context at the time?
  • What was the original evidence? Was it a study (what kind?), a data analysis, an observation, an opinion, a hypothesis?
  • What caveats did the original source include that have since been dropped?
  • What did the original claim actually assert — is it narrower, broader, or different from the current form?

Read the full file on GitHub · 135 lines

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. 9d ago First seen · 135 lines · 95 tokens per session scan A 4860ac9017e8

Subscribe to this mod's changes

s4h-investigation-source-trace is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 1,628 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 2026-09-03.

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