red

red is a skill for Claude Code from glebis/claude-skills. It costs 152 tokens per session (871 once invoked), scanned A, original, MIT.

A defensive check for personally identifying details that may remain in text after redaction. Redaction means removing or masking information that could identify someone.

In plain words
What is it for?
Use it to review your own redacted text for residual re-identification risk and report findings for human safety review.
Why use it?
It highlights surviving identifiers and broader risks such as linking the text to a person or inferring hidden details. It is not a method for uncovering concealed data.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the confide plugin — 8 skills shipped together

Good fit Use it to review your own redacted text for residual re-identification risk and report findings for human safety review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/glebis/claude-skills/red
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 glebis/claude-skills --skill red
Clone the repo
git clone --depth 1 https://github.com/glebis/claude-skills

Made for: Claude Code.

Or install confide, the plugin that ships this one along with the rest of its 8 skills.

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 red

README.md
[![agentmods](https://agentmods.dev/badge/skills/glebis/claude-skills/red/github.svg)](https://agentmods.dev/skills/glebis/claude-skills/red)
Your own site
<a href="https://agentmods.dev/skills/glebis/claude-skills/red"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/red/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 red

Your own site · 80×15
<a href="https://agentmods.dev/skills/glebis/claude-skills/red"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/red.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 871 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 $0.00152 $0.00871
Opus 5.5 $0.00061 $0.00348
Sonnet 5.5 $0.00030 $0.00174
Haiku 4.5 $0.00015 $0.00087

Measured 2mo ago against content hash 4d61c00007a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

red 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/red.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.

confide/skills/red/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

confide:red — residual re-identification risk check

A defensive audit of YOUR OWN already-redacted output. It does not score against ground truth and is not a benchmark. It surfaces, qualitatively, what an attacker could still do — mapped to GDPR Art-29: singling-out, linkability, inference.

GUARDRAILS — read before running

  • Run only on the user's own redacted output. If asked to de-anonymize or re-identify third-party / non-consented data, refuse.
  • Report risk categories and counts only — never produce a step-by-step re-identification recipe or guess the hidden values.
  • Local attacker by default. Enable the cloud/LLM inference probe (--inference) only on synthetic or explicitly consented data.
  • Absence of a finding ≠ safety. A weak local detector/attacker is a FLOOR, not a ceiling. Always tell the user human review is still required.
  • This pairs with confide:anon — run red after redacting, on the redacted file.

What it checks

  1. Singling-out (deterministic, offline — the load-bearing signal): re-run detect_regex (+ detect_natasha if available) on the redacted text. Anything they still find is a surviving identifier the redaction missed. Counts by type.
  2. Linkability (multi-file): given a folder, compare every file pair for shared surviving quasi-identifiers and flag potentially linkable pairs (count + types only).
  3. Inference (LLM, optional, opt-in): prompt the local attacker model (cfg.red_attacker_model) for the attribute categories it could still infer (profession, location type, age band, …). Degrades gracefully if no model. WARN the user it under-reports (floor, not ceiling).

Risk tier rule

  • HIGH — any DIRECT identifier survives (EMAIL, PHONE, URL, ID, PERSON).
  • MEDIUM — only QUASI identifiers survive (LOCATION, ORG, DATE, AGE, PROFESSION, MEDICATION), or linkable pairs exist across files.
  • LOW — no surviving identifiers found (still NOT a guarantee).

Read the full file on GitHub · 68 lines

Files

What ships with it

1 file 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.

  1. 2mo ago First seen · 68 lines · 152 tokens per session scan A 4d61c00007a7

Subscribe to this mod's changes

red is a skill published in the GitHub repository glebis/claude-skills (409 stars, last pushed yesterday), licensed MIT. It adds 152 tokens to every session and 871 once invoked, about $0.0006 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 2026-08-30.

Related

red compared with skills from other repositories

red next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
redglebis/claude-skillsSkill409yesterdayMITA152Claude Code
tastemakercodeswithroh/tastemakerSkill52426d agoMITA202Claude Code
fdesuboss87/FDEOpsSkill85717d agoMITA125Claude Code, Codex
board-memosuboss87/FDEOpsSkill85717d agoMITA31Claude Code, Codex
briefsuboss87/FDEOpsSkill85717d agoMITA32Claude Code, Codex
business-casesuboss87/FDEOpsSkill85717d agoMITA29Claude Code, Codex
earn-trustsuboss87/FDEOpsSkill85717d agoMITA26Claude Code, Codex