bullshit-detector: Instructions file for Claude Code

CLAUDE.md

bullshit-detector CLAUDE.md is an instructions file for Claude Code from SerhiiKorniienko/bullshit-detector. It costs 2,410 tokens per session, scanned A, original, MIT.

Project instructions for organizing skills into folders for analysis, source intake, publishing and unfinished work. The project is also packaged as a Claude Code plugin, which is an add-on that extends Claude Code.

In plain words
What is it for?
They help maintain folder indexes, plugin skill lists, marketplace metadata and release version updates.
Why use it?
They define which skills are ready to ship and where each one must be listed. This prevents unfinished skills from being included and keeps package version files consistent.

Instructions file for Claude Code

Written for Claude Code: Claude Code plugin machinery. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

This is SerhiiKorniienko/bullshit-detector's own configuration. It tells Claude Code how to work on bullshit-detector itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything bullshit-detector configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SerhiiKorniienko/bullshit-detector. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/SerhiiKorniienko/bullshit-detector/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/SerhiiKorniienko/bullshit-detector

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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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.

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Per session 2,410 This file is loaded in full into every session.
When invoked 2,410 The same file — it is already loaded in full.
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 $0.02410 $0.02410
Opus 5 $0.01205 $0.01205
Sonnet 5 $0.00482 $0.00482
Haiku 4.5 $0.00241 $0.00241

Measured 13d ago against content hash 5b216fa03a40, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

bullshit-detector CLAUDE.md 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 13d 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.

CLAUDE.md · 48 lines

How it starts

The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skills are organized into bucket folders under skills/:

  • analysis/ — skills that reason about content (source-agnostic, work on text)
  • ingestion/ — skills that turn sources into text (adapters live here)
  • publishing/ — skills that turn analysis results into shareable output (posts, carousels)
  • in-progress/ — drafts not yet ready to ship

Every skill in analysis/, ingestion/, or publishing/ (the promoted buckets) must have a reference in the top-level README.md and an entry in .claude-plugin/plugin.json's skills array — the Claude Code plugin ships exactly the promoted set. Skills in in-progress/ must not appear in either. Each bucket folder has a README.md listing every skill in the bucket with a one-line description, skill name linked to its SKILL.md; the top-level README.md links every promoted skill the same way.

The repo is also its own single-plugin Claude Code marketplace: .claude-plugin/marketplace.json lists the one bullshit-detector plugin. When releasing, bump .claude-plugin/plugin.json's version — Claude uses it to decide when installed users see an update — then run uv run scripts/write-version-files.py, which regenerates the VERSION file inside every promoted skill. Those files exist because the manifest does not travel with an npx skills add install (only the skill directory is copied), and they are generated, never hand-edited — the manifest stays the single source of truth, and tally.py --self-test fails when a VERSION file drifts from it, so a skipped regeneration is loud. Run claude plugin validate . --strict after touching either manifest.

The version is the serial number of a measuring instrument, not a marketing number. It is stamped into every report and printed as-is, tally.py gates its checks on it, and examples/ is filed by it precisely because two reports from different releases are two instruments rather than two readings. Nothing else in the repo can carry that meaning, so the bump rule follows from it and not from how the change felt to write:

  • MINOR when the instrument changes — the same content, run before and after, could produce a different report. Different verdicts, different claim counts, a different score, a different set of rows the gate accepts. Rule changes, rubric changes, new or altered tally.py checks, anything that moves what gets searched.
  • PATCH when it cannot — crashes, rendering, docs, tooling, packaging, and performance work that leaves the output identical.

Ask "could this move a verdict?", never "is this a feature or a fix?". Under this rule most releases here are minors, and that is the instrument honestly changing rather than version creep: batching two verdict-moving rules into one release makes a moved score unattributable, which defeats the reason reports are filed by version at all.

Two consequences worth knowing. Gated constants make the next release number load-bearing before you have shipped it — SPONSORED_SINCE = (0, 9, 0) has to be written while 0.8.1 is current — so the number cannot be decided after the fact, which is a second reason batching does not work here. And 1.0 is a statement about the public surface (skill names, report format, slides.json, the separately-versioned bullshit-detector/run@1 record), not about the rules being finished; the rules are expected to keep moving as minors well past it.

Architecture rule: analysis skills never fetch — they receive normalized text + metadata and reference the fetch-content skill for URLs. New sources are new adapters inside skills/ingestion/fetch-content/scripts/fetch.py; analysis skills must not change when a source is added. Keep skills portable: no agent-specific tool names in SKILL.md bodies ("use your web search tool", not "use WebSearch").

The detector's core integrity rule — verdicts require sources, never confirm/refute a claim from model memory — is load-bearing; don't weaken it when editing skills/analysis/bullshit-detector/.

Read the full file on GitHub · 48 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. 13d ago First seen · 48 lines · 2,410 tokens per session scan A 5b216fa03a40

Subscribe to this mod's changes

bullshit-detector CLAUDE.md is an instructions file published in the GitHub repository SerhiiKorniienko/bullshit-detector (142 stars, last pushed 9d ago), licensed MIT. It adds 2,410 tokens to every session, about $0.0120 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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