CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

botpenguin

BotPenguin integration. Manage Chatbots. Use when the user wants to interact with BotPenguin data.

Quality

69%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./skills/botpenguin/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, command-driven skill body with strong connection state-machine guidance and actionable examples throughout. Its main weaknesses are a few padded sections that add no operational value, a dangling 'Step 2' reference in the workflow, and no concrete worked example for running an action.

Suggestions

Delete the 'BotPenguin Overview' entity bullet list ('Bot / Chatbot / Template / Workspace / User / ...' with 'Use action names and parameters as needed.') and the marketing-style intro paragraph — neither changes what the agent does.

Fix the workflow numbering: 'skip to Step 2' points at nothing; either label the 'Searching for actions' section as Step 2 or renumber '1b' into a coherent sequence.

Add one fully concrete action example, e.g. membrane action run list-chats --connectionId=... --input '{"limit": 10}' --json, so the run step is copy-paste ready like the connection step.

DimensionReasoningScore

Conciseness

The body is mostly efficient commands and tables, but contains several padded sections Claude does not need: the intro paragraph 'BotPenguin is a platform that lets businesses build chatbots... It's used by marketers, customer support teams', the contentless 'BotPenguin Overview' entity bullet list followed by 'Use action names and parameters as needed.', and the 'Agent Types' aside.

3 / 5

Actionability

Nearly all guidance is copy-paste ready ('npm install -g @membranehq/cli@latest', 'membrane connection ensure "https://botpenguin.com/" --json', the proxy flags table), and the popular-actions table gives concrete action keys. Minor gap: 'membrane action run <actionId>' is never shown with a fully concrete worked example.

4 / 5

Workflow Clarity

The install → authenticate → connection → search → run sequence is clear, and connection state handling (READY / CLIENT_ACTION_REQUIRED with clientAction fields / CONFIGURATION_ERROR) provides explicit validation checkpoints with polling. Held below 5 because 'If the returned connection has state: "READY", skip to Step 2' references a 'Step 2' that is never labeled — the numbering jumps from an implicit step 1 to '#### 1b' with no step 2 heading.

4 / 5

Progressive Disclosure

The single SKILL.md file (~140 body lines) is well sectioned and defers API detail to runtime discovery ('membrane action list ... --intent "QUERY"'), which is good progressive disclosure. Minor gap: the generic Membrane CLI material (proxy flags table, agent types, login flow) is not specific to BotPenguin and could be split into a shared reference file.

4 / 5

Total

15

/

20

Passed

Description

57%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is short, third-person, and correctly structured with an explicit 'Use when...' clause naming a distinct platform. Its weakness is thin capability coverage — one generic action ('Manage Chatbots') and vague phrasing ('interact with BotPenguin data') instead of the concrete operations the skill actually supports.

Suggestions

Replace 'Manage Chatbots' with the skill's concrete operations, e.g. 'List chats, update leads, import contacts, and send WhatsApp text/media/template messages via BotPenguin.'

Make the trigger clause concrete instead of 'interact with BotPenguin data', e.g. 'Use when the user wants to manage BotPenguin chatbots, inbox contacts/leads, or WhatsApp messages.'

Include the natural synonyms users would say (chatbot, WhatsApp, leads, inbox, contacts) to improve trigger-term coverage.

DimensionReasoningScore

Specificity

It names the domain ('BotPenguin integration') but the only action offered is the generic 'Manage Chatbots' — matching anchor 2 ('names the domain but actions are minimal or generic') rather than 3, which requires concrete actions like 'extracts content'.

2 / 5

Completeness

Both parts are explicitly present: what ('Manage Chatbots') and when ('Use when the user wants to interact with BotPenguin data'). Not 5 because neither side uses concrete trigger phrases ('interact with BotPenguin data' is vague); clearly above 3 because the 'when' clause is explicit rather than implied.

4 / 5

Trigger Term Quality

'Chatbots' and 'BotPenguin' are relevant natural keywords, but the description misses the common variations users would actually say for this skill's actions — WhatsApp messages, leads, contacts, inbox, templates — matching anchor 3 ('some relevant keywords but missing common variations').

3 / 5

Distinctiveness Conflict Risk

'BotPenguin' pins a clear niche platform, but the standalone phrase 'Manage Chatbots' overlaps with generic chatbot-building skills — anchor 4 ('mostly distinct; minor overlap risk with closely related skills') rather than 5.

4 / 5

Total

13

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

membranedev/application-skills

Path

skills/botpenguin/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.