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manus

Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.

72

Quality

91%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

82%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.

The body is highly actionable with executable curl/jq examples and a sensible reference split, and it includes error remediation. It loses points mainly on conciseness (redundant sections) and progressive disclosure (some detail that belongs in the reference is kept inline).

Suggestions

Move File Attachments, Projects, and Advanced Options into references/api.md, leaving a one-line pointer from SKILL.md to reduce inline bulk.

Consolidate 'When to Use Manus' and 'Best Practices' — they overlap the frontmatter description and each other; keep only the operational guidance (poll intervals, credit_usage, report task_url).

Make the poll-until-complete step an explicit validation checkpoint (e.g. 'Poll every 5-10s; only extract output when status==completed; on failed, surface error and stop').

DimensionReasoningScore

Conciseness

The body is mostly lean curl/jq commands and code, but the 'When to Use Manus' and 'Best Practices' sections repeat content already in the description and each other, so minor trimming is possible.

4 / 5

Actionability

Every operation has a copy-paste-ready curl command with concrete headers and payloads, plus jq extraction one-liners, covering the common create/poll/extract/list/delete cases.

5 / 5

Workflow Clarity

The Create → Poll → Return sequence is clear and the Error Handling section provides a remediation feedback loop (invalid key, timeout, rate-limit), though polling/validation checkpoints are stated loosely rather than as explicit gate checks.

4 / 5

Progressive Disclosure

The bulk API reference is correctly offloaded to the real, one-level-deep references/api.md, but attachments, projects, advanced options, and multi-turn usage are inlined in SKILL.md where they could also live in the reference.

4 / 5

Total

17

/

20

Passed

Description

96%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 strong: it specifies concrete capabilities, supplies natural trigger phrases, and explicitly covers both what and when. The only weakness is the generic task-type list, which slightly raises overlap risk with general research skills.

Suggestions

Tie the task-type conditions back to the Manus-specific verbs (e.g. 'delegate to manus for...') so the broad research list cannot fire a generic research skill instead.

Consider dropping one or two of the longer 'when tasks require...' enumerations in favor of the already-strong 'use manus' phrase set to reduce verbosity without losing triggers.

DimensionReasoningScore

Specificity

Names the domain ('Manus AI agent for autonomous execution') and lists multiple concrete actions — deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis — for comprehensive coverage.

5 / 5

Completeness

Explicitly answers both 'what' (delegate complex long-running tasks to Manus) and 'when' (named trigger phrases plus task-type conditions), matching the concrete-trigger anchor.

5 / 5

Trigger Term Quality

Comprehensive set of natural phrases a user would actually say — 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions' — covering synonyms and variations.

5 / 5

Distinctiveness Conflict Risk

The 'manus'-keyworded triggers are highly distinct, but the broad task-type clause ('deep web research, market analysis, product comparisons') overlaps with general research skills, so minor overlap risk remains.

4 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
sanjay3290/ai-skills
Reviewed

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