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io.github.Syedomershah99/being-human

PYPI · BEING-HUMAN · SCANNED AUG 18

Learns your writing voice from your own prompt history, then makes the model write like that.

Available components

69 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency45
Schema Quality & AI Usability87
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1048 tokens (~116/item across 9 items; 7 tools + 2 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage97
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 90% of tool parameters carry a description.Partial
Capabilities60
  • Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

pypi · being-human

# add to Claude Code
claude mcp add syedomershah99-being-human -- uvx being-human
# add to Codex CLI
codex mcp add syedomershah99-being-human -- uvx being-human
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "syedomershah99-being-human": {
      "type": "local",
      "command": [
        "uvx",
        "being-human"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add syedomershah99-being-human --command uvx --arg being-human
# ~/.hermes/config.yaml
mcp_servers:
  syedomershah99-being-human:
    command: "uvx"
    args: ["being-human"]
// mcp.json
{
  "mcpServers": {
    "syedomershah99-being-human": {
      "command": "uvx",
      "args": [
        "being-human"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 13 Aug 26 69

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 18 Aug 2026 · Analysed pypi/being-human@0.1.2

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi
Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build
Dependencies 0 packages
Packages resolved 0
Tree resolution Complete
MCP tools · 7 exposed · ~793 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
voice_export ~94

Compile the voiceprint into a format another tool reads: 'chatgpt' (custom instructions box, ~1500 chars), 'agents' (AGENTS.md), 'cursor' (.cursorrules), 'claude' (CLAUDE.md), 'system' (raw system prompt), or 'json'. Use when the user wants their voice set up in a different assistant.

NameTypeReqDescription
targetstringyes

No output schema declared.

No examples provided.

voice_get ~104

Get the user's measured writing voice as explicit rules. CALL THIS BEFORE writing any prose the user will send or publish under their own name -- a post, email, reply, bio, doc, commit message, cover letter, or anything else in their name. The rules are measured from their own past writing (sentence rhythm, casing, punctuation rates, vocabulary, words to avoid), so they override your defaults. Cheap and fast; call it rather than guessing what the user sounds like.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

voice_learn ~151

Build or refresh the voiceprint from the user's own writing. Sources: 'claude-history' and 'claude-projects' (local Claude Code history), 'chatgpt' (a conversations.json from a ChatGPT data export, needs path), 'files' (a folder of the user's own writing, needs path). Takes a few seconds. Run this once at setup, or again to fold in newer writing.

NameTypeReqDescription
appendbooleanAdd to the existing corpus instead of replacing.
namestringThe user's name, for labelling.
pathstringRequired for 'chatgpt' and 'files'.
sourcestringyesWhere to harvest from.

No output schema declared.

No examples provided.

voice_note ~103

Record something about the user's voice that measurement cannot reach -- a phrase they have banned, who they are usually writing for, a correction they just made to your draft, a running joke. Use this whenever the user says 'I wouldn't say that', 'too formal', or rewrites something you wrote. Notes persist across every rebuild of the voiceprint and tend to matter more than the statistics.

NameTypeReqDescription
notestringyesThe rule or observation, in one or two sentences.

No output schema declared.

No examples provided.

voice_score ~133

Score a draft 0-100 for AI tells and get line-level findings. CALL THIS ON EVERY DRAFT before showing it to the user. Checks a curated slop lexicon plus structural signals -- sentence-length uniformity, paragraph shape, bullet symmetry, punctuation rates -- against THIS user's own measured baseline rather than universal rules. Above 85 reads human, below 50 is slop. Also returns the voice rules, so one call gives you both the critique and the target.

NameTypeReqDescription
pathstringPath to a file to score, instead of text.
textstringThe draft text to score.

No output schema declared.

No examples provided.

voice_status ~61

Check whether a voiceprint exists and how solid it is: sample count, word count, when it was built, and whether the corpus is large enough for the measurements to be stable. Use this when you are not sure the user has set being-human up yet.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

voice_verify ~147

The impostor test: statistically, is this text a plausible sample of THIS user? Returns an authorship percentile against a null resampled from their own writing at the same length. Under 75 means indistinguishable from them; over 97 means it reads as someone else. This is a different question from voice_score -- that one catches AI tells, this one catches 'fluent, clean, and not you'. Run BOTH on any draft before showing it; a draft has to pass each. Also names the specific words that pushed it out of range.

NameTypeReqDescription
pathstringPath to a file, instead of text.
textstringThe draft text to test.

No output schema declared.

No examples provided.