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io.github.CloudCorpRecords/tellcheck

OCI · GHCR.IO/CLOUDCORPRECORDS/TELLCHECK · 2 COMPONENTS

Voice-style checks and a deterministic AI-tell audit for your writing.

40 Trust /100

Last scanned (29 minutes ago)

Scores higher than 42% of OCI servers

Category Developer Tools

Trust breakdown (7 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 → Why this is hard to score →

Supply Chain Security0
  • No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.Unverified
  • Known CVEs could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.Unverified
  • Install-script risk not yet assessed.Unverified
  • Dependency health could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.Unverified
Provenance & Transparency45
Schema Quality & AI Usability72
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 1067 tokens (~53/item across 20 items; 20 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management10
  • Stability observed for 3 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 3 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "delete_style" implies "delete" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 20 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

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.

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.

  • 5 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

  • 3 Nov 26 +1
    • Security disclosure: unverified → fail ▼ functional
  • 2 Nov 26 38

    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 5 Nov 2026 · Analysed oci/ghcr.io/cloudcorprecords/tellcheck@0.1.0

Provenance No attestation

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

Result No attestation
Ecosystem oci
Reason No attestation published

Background: How many MCP packages publish verified provenance →

MCP tools · 20 exposed · ~1,067 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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
add_banned_word ~60

Add a word to the banned-word list, globally or for one style.

NameTypeReqDescription
styleIdstring–ID or name of the style; omit for the global list.
wordstringyesWord to add to the banned-word list.

No output schema declared.

No examples provided.

add_custom_word ~57

Add a word to the custom dictionary, globally or for one style.

NameTypeReqDescription
styleIdstring–ID or name of the style; omit for the global dictionary.
wordstringyesWord to add to the custom dictionary.

No output schema declared.

No examples provided.

audit_text ~87

Run a deterministic AI-tell scan over a text and return a tier, score, findings with locations, and strengths.

NameTypeReqDescription
registerstring–Text register: email, blog, memo, essay, social, docs, general, or personal.
sourceFactsarray–Source fact texts that numbers in the text are checked against.
textstringyesText to audit.

No output schema declared.

No examples provided.

check_self_repetition ~56

Find repeated sentence openers and phrases in a text, including repetition against the style's training samples.

NameTypeReqDescription
styleIdstringyesID or name of the style.
textstringyesText to check for repetition.

No output schema declared.

No examples provided.

check_voice_match ~56

Compare a text's rhythm and mechanics against a style baseline. Short input returns a low-confidence note.

NameTypeReqDescription
styleIdstringyesID or name of the style.
textstringyesText to compare against the style.

No output schema declared.

No examples provided.

clear_style_instructions ~40

Clear style instructions, globally or for one style.

NameTypeReqDescription
styleIdstring–ID or name of the style; omit for the global instructions.

No output schema declared.

No examples provided.

create_style_from_dials ~64

Create a style directly from voice dials without training samples.

NameTypeReqDescription
dialsobjectyesVoice dial values from 0 to 1, except sentenceLength, which is a target average in words.
namestringyesName for the new style.

No output schema declared.

No examples provided.

delete_style ~28

Delete a user-created style.

NameTypeReqDescription
styleIdstringyesID of the style to delete.

No output schema declared.

No examples provided.

fork_style ~69

Fork an existing style under a new name. Preset forks are local; forking a public-gallery handle or slug may return an honest error in this rebuild.

NameTypeReqDescription
namestringyesName for the forked style.
sourcestringyesID or name of the local style to fork.

No output schema declared.

No examples provided.

get_style_guide ~41

Get the full style guide for one style, including its dials and rhythm description.

NameTypeReqDescription
styleIdstringyesID or name of the style.

No output schema declared.

No examples provided.

get_style_instructions ~40

Get style instructions, globally or for one style.

NameTypeReqDescription
styleIdstring–ID or name of the style; omit for the global instructions.

No output schema declared.

No examples provided.

list_dictionary ~49

List dictionary scopes and, when a style is given, the merged effective list for that style.

NameTypeReqDescription
styleIdstring–ID or name of the style; omit to list only the global scopes.

No output schema declared.

No examples provided.

list_styles ~28

List available writing styles: shipped presets, trained styles, and a team style if one is defined.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

remove_banned_word ~60

Remove a word from the banned-word list, globally or for one style.

NameTypeReqDescription
styleIdstring–ID or name of the style; omit for the global list.
wordstringyesWord to remove from the banned-word list.

No output schema declared.

No examples provided.

remove_custom_word ~57

Remove a word from the custom dictionary, globally or for one style.

NameTypeReqDescription
styleIdstring–ID or name of the style; omit for the global dictionary.
wordstringyesWord to remove from the custom dictionary.

No output schema declared.

No examples provided.

second_read ~50

Request a second read of a text. The original's local install always fails with a clear explanation; this rebuild reproduces that honest behaviour.

NameTypeReqDescription
textstringyesText to request a second read of.

No output schema declared.

No examples provided.

set_default_style ~34

Set the default style used when no style is specified.

NameTypeReqDescription
styleIdstringyesID or name of the style.

No output schema declared.

No examples provided.

set_style_instructions ~54

Set free-form style instructions, globally or for one style.

NameTypeReqDescription
instructionsstringyesFree-form style instructions text.
styleIdstring–ID or name of the style; omit for the global instructions.

No output schema declared.

No examples provided.

train_style ~65

Train a new style from writing samples by measuring sentence rhythm, contraction rate, em-dash use, and paragraph variance.

NameTypeReqDescription
namestringyesName for the new style.
samplesarrayyesWriting sample texts to train the style from; at least one is required.

No output schema declared.

No examples provided.

update_style ~72

Rename a style or adjust its dials.

NameTypeReqDescription
dialsobject–Voice dial values from 0 to 1, except sentenceLength, which is a target average in words.
namestring–New name for the style.
styleIdstringyesID of the style to update.

No output schema declared.

No examples provided.

Install

How do I install the io.github.CloudCorpRecords/tellcheck MCP server?

io.github.CloudCorpRecords/tellcheck runs locally as a container image, launched with docker run --rm -i ghcr.io/cloudcorprecords/tellcheck:0.1.0. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.

oci · ghcr.io/cloudcorprecords/tellcheck

# add to Claude Code
claude mcp add cloudcorprecords-tellcheck -- docker run --rm -i ghcr.io/cloudcorprecords/tellcheck:0.1.0
Common questions

What is the io.github.CloudCorpRecords/tellcheck MCP server?

io.github.CloudCorpRecords/tellcheck is an MCP server listed in the public MCP registry as io.github.CloudCorpRecords/tellcheck. Voice-style checks and a deterministic AI-tell audit for your writing. This page covers its container image (ghcr.io/cloudcorprecords/tellcheck).

Is the io.github.CloudCorpRecords/tellcheck MCP server safe to use?

io.github.CloudCorpRecords/tellcheck scores 40 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.CloudCorpRecords/tellcheck MCP server expose?

io.github.CloudCorpRecords/tellcheck exposes 20 tools: list_styles, get_style_guide, train_style, create_style_from_dials, update_style, and 15 more. Their descriptions and schemas cost roughly 1,067 tokens of context every time the server is loaded.

Is the io.github.CloudCorpRecords/tellcheck MCP server still maintained?

io.github.CloudCorpRecords/tellcheck is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.CloudCorpRecords/tellcheck MCP server under?

io.github.CloudCorpRecords/tellcheck declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.