A
licenseC
qualityA
maintenanceEnables coding agents to query, compare, and audit local profiler traces, benchmarks, memory captures, and execution evidence without uploading code or data, using CLI and MCP interfaces.
111
50 PyPI
118
MIT
ventrox
Officialby Vetrox
Ventrox
Ein Coding-Agent stößt mehrmals täglich auf dieselbe Wand, und niemand sieht es.
Ventrox fügt dem Agenten einen Tool-Aufruf hinzu: was er versucht hat, was fehlschlug, verlorene Minuten.
Der Agent kann Vents nicht zurücklesen; der Server stempelt jeden mit Sitzung, Projekt, Branch und Zeit.
Ein Reviewer startet VENTROX_SECRET=$(ventrox grant) claude und listet Vents auf, gruppiert nach grober Ähnlichkeit, sortiert nach Anzahl und Minuten.
Die Wand, die die meisten Minuten gekostet hat, steht zuerst.
Ein paar hundert Zeilen Python, eine SQLite-Datei in Ihrem Home-Verzeichnis, zwei Befehle zur Installation.
Nichts geht über das Netzwerk, und nichts landet in Ihrem Repository.
Clustering ist TF-IDF auf n-Grammen und übersieht Synonyme; die Schwärzung ist eine Regex-Liste, Best Effort.
Limits: 20 Vents pro Sitzung, 5 pro 10 Minuten.
Die Idee stammt aus dem vent tool und vent-widget von Lovable.
Installation
Ventrox als globales Tool installieren:
uv tool install git+https://github.com/Vetrox/ventrox.gitOder aus dem Checkout klonen und installieren:
git clone https://github.com/Vetrox/ventrox && cd ventrox && uv tool install .Dann das Setup ausführen:
ventrox setupDas Setup kopiert die Skills ventrox-report und ventrox-review nach ~/.claude/skills/.
Anschließend registriert es den MCP-Server mit claude mcp add --scope user ventrox -- ventrox.
Related MCP server: todox MCP Server
Verwendung
Reporter: Der Agent ruft ventrox_vent mit tried, failed und minutes_lost auf.
Er schreibt einen Vent pro Turn, und nur nachdem sich dieselbe Reibung wiederholt (zwei Fehlschläge oder mehr als 10 Minuten).
Er korrigiert einen Vent in derselben Sitzung mit ventrox_edit.
Der Server akzeptiert 20 Vents pro Sitzung und 5 Vents pro 10 Minuten.
Reviewer: Starten Sie eine Sitzung mit einem Einmal-Token:
VENTROX_SECRET=$(ventrox grant) claudeDas Token ist einmal verwendbar und 10 Minuten gültig. Die Sitzung enthält dann die Reviewer-Tools. Rufen Sie sie in dieser Reihenfolge auf:
ventrox_reclustergruppiert offene Vents nach Wortschatz-Überschneidung.ventrox_clusterslistet die Gruppen, sortiert nach Anzahl offener Vents, dann nach verlorenen Minuten.ventrox_resolve_clustermarkiert eine Gruppe alsresolvedoderwontfix.
Deinstallation
ventrox setup --remove
uv tool uninstall ventrox
rm -r ~/.local/share/ventrox # deletes all ventsTools
Tool | Modus | Argumente | Rückgabe |
| reporter |
|
|
| reporter |
|
|
| reviewer |
| den Vent oder |
| reviewer |
|
|
| reviewer | keine |
|
| reviewer | keine | Anzahl |
| reviewer |
|
|
| reviewer |
|
|
Textfelder enthalten 1 bis 4000 Zeichen. minutes_lost reicht von 0 bis 1440.
Umgebungsvariablen
Variable | Zweck | Standard |
| Datenverzeichnis | nicht gesetzt |
| Sitzungs-ID | pro Prozess generiert |
| Grant-Token für eine Reviewer-Sitzung; einmal verwendbar, 10 Minuten gültig | nicht gesetzt |
| Pfad zu einer Datei mit Projektbeispielen | nicht gesetzt |
| Vents, die der Server pro Sitzung akzeptiert | 20 |
| Vents, die der Server pro 10 Minuten akzeptiert | 5 |
Datenspeicherort
Der Server wählt den ersten der Pfade $VENTROX_HOME, $XDG_DATA_HOME/ventrox und ~/.local/share/ventrox.
Alle Vents liegen in vents.db in diesem Verzeichnis.
Die Datei ist reines SQLite ohne Verschlüsselung; nur Dateiberechtigungen schützen sie.
Der Server weigert sich zu starten, wenn das Datenverzeichnis in einem git worktree liegt, und beendet sich mit Code 2.
Skills
ventrox-report sagt dem Agenten, wann eine Reibung als Vent zählt und was die drei Felder enthalten müssen.
ventrox-review weist einen Reviewer an, recluster, clusters und dann resolve auszuführen.
ventrox setup installiert beide.
Projektbeispiele
Legen Sie eine .ventrox.md-Datei im Projektstamm ab, um projektspezifische Beispiele für gute Vents hinzuzufügen.
Setzen Sie VENTROX_EXAMPLES auf einen Dateipfad, um Beispiele für alle Projekte hinzuzufügen.
Der Server hängt beide an die Tool-Beschreibung von ventrox_vent an.
Entwickeln
uv sync
uv run pytest
uv run ventroxNicht-Ziele
Ventrox synchronisiert nicht mit einem Issue-Tracker. Es hat keinen Mehrbenutzermodus. Es zeichnet keine Tool-Aufruf-Traces auf, nur die drei Felder, die der Agent schreibt. Es öffnet keine Netzwerkverbindung.
Available Tools
2 toolsventrox_editA
Edit the tried, failed, or minutes_lost of a vent you wrote.
Provide the vent ID. Validation rules match ventrox_vent. Returns ok (true or false). If the edit fails, we do not state the reason. Possible causes: wrong ID, wrong session, or validation error.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| tried | No | ||
| failed | No | ||
| minutes_lost | No |
TDQS
A4.4/5.0
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description correctly explains that it returns a bare true/false, does not report failure reasons, and lists likely causes of failure. It also indicates scope ('a vent you wrote'), which implies an ownership or session restriction, though it does not detail authentication behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is focused, front-loaded with the action, and every clause earns its place. It includes the necessary fields, the required input, return shape, and failure behavior without padding or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no output schema and no annotations, the description gives sufficient info to call it and interpret false results. The user session context is mentioned but not explained, and validation rules are deferred to a sibling tool, which is acceptable but not fully self-contained.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must clarify parameter meaning. It names all editable fields ('tried, failed, or minutes_lost') and the required id, covering the four parameters adequately even without per-property explanations.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description's leading sentence clearly states the action ('Edit') and the resource ('a vent you wrote') and specifies the editable fields. It distinguishes itself from the sibling ventrox_vent by framing this as an edit operation for existing vents, not a creation operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
It states the required input ('Provide the vent ID') and implies this is used to modify an existing vent instead of creating one. It does not explicitly name ventrox_vent as the alternative, but the context signals make the intended usage clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ventrox_ventA
Record friction you hit today.
A vent describes what blocked you. Write what you tried, what failed, and how many minutes you lost. Do not write fixes, workarounds, or lessons. We do not read vents back to you.
Write one vent per turn. Write a vent only after you hit the same friction again. Friction repeats when the same thing fails two times or more, or when one thing costs more than 10 minutes.
Good vents:
tried "run the test suite with
uv run pytest", failed "import error onconftest.pythree times in a row; the fix needed PYTHONPATH that no doc states", minutes_lost 25tried "deploy to staging with the standard CloudFormation template", failed "VPC id mismatch in the template; had to edit manually each time for 3 deploys", minutes_lost 18
tried "install the linter with
pip install ruff", failed "no wheel for Python 3.13 on macOS arm64; built from source twice, flaky on CI", minutes_lost 12tried "run database migration with
python manage.py migrate", failed "timeout on the first attempt; docs don't mention --timeout flag; second attempt with flag succeeded", minutes_lost 8
Not vents:
A one-off typo you fixed once. That is not repeated friction.
"How do I make the tests faster?" That is a question, not friction.
"Next time use pytest-xdist for parallel tests". That is a lesson or a fix, not what blocked you.
"Finished the feature, took 3 hours". That is a task-progress note, not friction.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tried | Yes | ||
| failed | Yes | ||
| minutes_lost | Yes |
TDQS
A4.6/5.0
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, and it does so thoroughly. It discloses that vents are not read back, that only one vent should be written per turn, that vents should only be logged after repeated friction, and that fixes/workarounds/lessons should be excluded. This goes well beyond a simple 'record friction' statement.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is longer than average, but every section earns its place: a front-loaded purpose statement, eligibility thresholds, and illustrative good/bad examples. It is information-dense rather than padded, and the structured examples are easy for an agent to pattern-match against.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a logging tool with no output schema and no annotations, the description is complete. It tells the agent what to record, when recording is appropriate, what not to record, and what happens after recording ('we do not read vents back to you'). No critical operational detail appears to be missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must supply all parameter meaning. It clearly maps 'tried' to what you attempted, 'failed' to what blocked you, and 'minutes_lost' to the time lost. The examples reinforce this by showing realistic combinations, and the 'not vents' section clarifies what should not go into the parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly defines the tool as recording friction: what you tried, what failed, and minutes lost. It gives strong examples of good and bad vents. However, it does not explicitly differentiate itself from the sibling tool ventrox_edit, so the agent must infer the create-vs-edit boundary from the tool names.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit when-to-use guidance: write a vent only after the same friction repeats, with precise thresholds like two failures or more than 10 minutes lost. It also gives clear exclusions such as one-off typos, questions, lessons, and task-progress notes. It does not mention ventrox_edit as the alternative for editing existing vents, so the usage guidance is excellent for creation but not complete against its sibling.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
v0.1.0- First observed
ventrox_edit - First observed
ventrox_vent
TDQS
A4.4/5.0
Scored across 2 tools
Disambiguation5/5
ventrox_vent is exclusively for recording a new friction event, while ventrox_edit explicitly modifies an existing vent's fields. There is no overlap or ambiguity between creating and editing.
Naming Consistency4/5
Both tools share the ventrox_ prefix and use short action-style names, making the pattern predictable. The only minor inconsistency is that ventrox_vent uses the verb 'vent' while ventrox_edit omits an object noun such as 'vent'.
Tool Count4/5
Two tools is slightly thin, but it matches the server's focused purpose of recording and correcting friction entries. Each tool is meaningful and there is no bloat.
Completeness4/5
The server covers creating and editing vents, which are the core operations for its purpose. There is no delete or list/read tool, though deletion is a minor gap and reading is intentionally not provided.
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