finding-skeptic

finding-skeptic is a skill for Claude Code, Codex from AppliedIR/sift-mcp. It costs 57 tokens per session (1,031 once invoked), scanned A, original, MIT.

A review step for digital-forensics findings that uses a separate agent to try to disprove each drafted observation and interpretation before it is recorded.

In plain words
What is it for?
It is for challenging forensic findings, reassessing their confidence, and marking them as unchanged, revised, or withdrawn.
Why use it?
It helps catch weak evidence, incorrect interpretations, and unsupported conclusions before an examiner sees them.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit It is for challenging forensic findings, reassessing their confidence, and marking them as unchanged, revised, or withdrawn.

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Install with agentmods
npx agentmods add skills/appliedir/sift-mcp/finding-skeptic
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 AppliedIR/sift-mcp --skill finding-skeptic
Clone the repo
git clone --depth 1 https://github.com/AppliedIR/sift-mcp

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 finding-skeptic

README.md
[![agentmods](https://agentmods.dev/badge/skills/appliedir/sift-mcp/finding-skeptic/github.svg)](https://agentmods.dev/skills/appliedir/sift-mcp/finding-skeptic)
Your own site
<a href="https://agentmods.dev/skills/appliedir/sift-mcp/finding-skeptic"><img src="https://agentmods.dev/badge/skills/appliedir/sift-mcp/finding-skeptic/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 finding-skeptic

Your own site · 80×15
<a href="https://agentmods.dev/skills/appliedir/sift-mcp/finding-skeptic"><img src="https://agentmods.dev/badge/skills/appliedir/sift-mcp/finding-skeptic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,031 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 $0.00057 $0.01031
Opus 5.5 $0.00023 $0.00412
Sonnet 5.5 $0.00011 $0.00206
Haiku 4.5 $0.00006 $0.00103

Measured 4d ago against content hash a5c772ac6dd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

finding-skeptic 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/finding-skeptic/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Finding skeptic

Challenge each drafted finding before it is shown to the examiner and staged. The examiner then sees only the reviewed version.

There are two parts: the investigator (you, with the investigation's context) and the skeptic (a separate agent that sees only the draft).

Only in an isolated agent

Run the skeptic only as its own agent: a subagent with its own context, or a separate thread. If your client gives you no way to do that, don't challenge the finding. Record it without challenged; the examiner sees "Not challenged". A challenge from the same context that wrote the finding is not a challenge.

The investigator's part

  1. Draft the finding: title, observation, interpretation, confidence, the audit ids it cites, and each artifact's extraction command.

  2. Hand the skeptic only the draft, not the investigation narrative or your reasoning.

  3. Reassess on the skeptic's report. Choose one outcome:

    • stands: nothing in the report changes the finding;
    • revised: you change the finding because of the report;
    • withdrawn: only under the withdrawal rule below.
  4. Fill alternatives only with what is meaningful:

    • an alternative that is still possible: status: open, with why it stays open;
    • an alternative the re-run output rules out: status: ruled_out, with that output quoted in evidence and its audit ids in audit_ids.

    If the skeptic found nothing and you agree, leave alternatives out.

  5. Set challenged in the finding: outcome (stands, revised or withdrawn) and skeptic_audit_ids, the audit ids of the skeptic's own tool calls. Never the finding's own audit ids.

  6. Present the reviewed version to the examiner, get conversational approval, then call record_finding on forensic-mcp.

The withdrawal rule

Withdraw only when re-run output contradicts a fact in the observation: the event is absent, the value differs, the file doesn't exist.

Read the full file on GitHub · 104 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. 4d ago First seen · 104 lines · 57 tokens per session scan A a5c772ac6dd6

Subscribe to this mod's changes

finding-skeptic is a skill published in the GitHub repository AppliedIR/sift-mcp (18 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 1,031 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 2026-10-12.

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