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join-meeting

AgentCall (agentcall.dev) — Join a video meeting (Google Meet, Teams, Zoom) as an AI bot with voice and visual presence. Supports audio-only mode with voice intelligence (barge-in, interruptions), text-to-speech mode, and webpage modes for custom UI. Use when asked to join a call, attend a meeting, or participate in a video conference.

68

Quality

84%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

81%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 thorough, highly actionable skill body with excellent workflow clarity and validation, well-organized with clear one-level-deep references. Its main weakness is verbosity from repeated CALL_LOOP restatements and emphatic preambles that could be consolidated.

Suggestions

Consolidate the CALL_LOOP algorithm into a single canonical section and have Pattern 1/2 and the methods reference it, instead of restating the loop three to four times.

Trim the two opening 'IMPORTANT: Read this entire document' preambles into one concise orientation line; the emphatic CRITICAL/MANDATORY banners recur often enough to feel padded.

Move the full event-type and command catalogs plus the four event-reading methods into a reference guide, leaving SKILL.md a leaner overview that links out.

DimensionReasoningScore

Conciseness

The 1914-line body is mostly dense, non-obvious operational detail (event/command catalogs, mode mechanics), but the CALL_LOOP algorithm is restated ~4 times, two emphatic 'read everything' preambles lecture the reader, and the four event-reading methods overlap — material that could be tightened.

3 / 5

Actionability

Fully executable guidance throughout: copy-paste bash startup lines, complete JSON event and command catalogs, concrete curl examples for transcripts and cleanup, and worked end-to-end screenshare/webpage workflows covering the common cases.

5 / 5

Workflow Clarity

The CALL_LOOP is clearly sequenced with explicit validation checkpoints and feedback loops (acknowledge → work → check call), and the mandatory cleanup checklist includes API verification of call-ended status and error recovery for screenshare failures.

5 / 5

Progressive Disclosure

Seven guide references and an examples directory are clearly signaled one level deep via proper markdown links and a Guides/Examples index, with good section structure; however, large reference material (full event catalog, command tables, four event-reading methods) remains inline rather than split out.

4 / 5

Total

17

/

20

Passed

Description

87%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.

A strong, third-person description that clearly states capabilities and explicit usage triggers with natural language. Minor specificity gaps (screenshare, chat, cleanup) keep it just below fully comprehensive.

DimensionReasoningScore

Specificity

Lists several concrete capabilities ('audio-only mode with voice intelligence (barge-in, interruptions)', 'text-to-speech mode', 'webpage modes for custom UI', 'voice and visual presence'), but omits discrete operations like screenshare, chat, screenshots, and leave/cleanup, leaving minor gaps.

4 / 5

Completeness

Explicitly answers both what ('Join a video meeting... as an AI bot with voice and visual presence', lists modes) and when ('Use when asked to join a call, attend a meeting, or participate in a video conference') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural user phrases ('join a call', 'attend a meeting', 'participate in a video conference') plus platform names (Google Meet, Teams, Zoom), giving good coverage though a few synonyms are missing.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (joining meetings as an AI bot) with distinct triggers and platform specifics, making conflict with other skills unlikely.

5 / 5

Total

18

/

20

Passed

Validation

75%

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

Validation12 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (1915 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

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

Warning

relative_links

Relative link issues: 9 missing, 12 deeper-than-1-level

Warning

referenced_paths_exist

Referenced path issues: 29 deeper-than-1-level

Warning

Total

12

/

16

Passed

Repository
pattern-ai-labs/agentcall
Reviewed

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