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agentsociety-paper-review

Use when a completed research manuscript needs a robust internal, venue-calibrated mock peer review. Orchestrates three isolated reviewer subagents in parallel, then a separate MetaReview subagent that verifies evidence, reports agreement and score dispersion, and emits advisory reroutes. Never revises research artifacts, executes experiments, or updates pipeline state.

78

Quality

100%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The body is an operationally precise orchestration spec: dense and lean, with concrete commands and paths, an explicitly validated multi-step workflow with feedback loops, and clean progressive disclosure into real one-level-deep reference files. It exemplifies the reference patterns for a complex skill.

DimensionReasoningScore

Conciseness

The body is information-dense and assumes Claude's competence — it never explains known concepts (what a PDF is, how libraries work) and packs operational specifics (exact paths, counts, controlled vocabulary). The Hard Constraints section restates some Workflow guardrails, but as a deliberate consolidated safety checklist this earns its place rather than reading as padding, fitting the 3 'every token earns its place' anchor over the 2 'could be tightened' anchor.

3 / 3

Actionability

Guidance is concrete and executable: 'run `scripts/prepare_pdf_review.py` into the round's `pdf-intake/` directory', 'write `input-manifest.yaml`', 'Spawn exactly three isolated subagents together as `R1`, `R2`, and `R3`', exact output paths, and an enumerated advisory-reroute vocabulary. As an instruction-only orchestration skill the directions are copy-paste ready, matching the 3 anchor.

3 / 3

Workflow Clarity

An explicit 8-step numbered sequence carries validation checkpoints and feedback loops — 'Stop before dispatch when its status is `failed`', 'Retry a failed reviewer at most once ... never silently reduce the ensemble size', 'Only after all three independent review agents have finished, spawn a new MetaReview subagent', and 'Recompute frozen input digests before MetaReview. If the manuscript changed, invalidate the round'. This matches the 3 anchor for clear sequencing with validation and error recovery.

3 / 3

Progressive Disclosure

The SKILL.md is an overview pointing to well-signaled, one-level-deep references — '## Required References' enumerates ensemble-protocol.md, review-contract.md, meta-review-contract.md, reroute-guide.md, pdf-intake-contract.md and six venue templates, all of which exist as real files, plus scripts/prepare_pdf_review.py. Content is appropriately split across the bundle with easy navigation, matching the 3 anchor.

3 / 3

Total

12

/

12

Passed

Description

100%

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 concrete, third-person, and explicitly triggered, covering both what the skill does and when to use it with a clearly distinct niche and explicit non-goals. It is among the strongest examples in the reference set.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Orchestrates three isolated reviewer subagents in parallel', a MetaReview subagent that 'verifies evidence, reports agreement and score dispersion, and emits advisory reroutes', plus explicit non-actions ('Never revises research artifacts, executes experiments, or updates pipeline state'). This is comprehensive and action-specific, matching the 3 anchor rather than the partial 2 anchor.

3 / 3

Completeness

Clearly answers both 'what' (orchestrates three reviewers then a MetaReview subagent) and 'when' via an explicit 'Use when a completed research manuscript needs ...' trigger clause, matching the 3 anchor that requires explicit triggers for both what and when.

3 / 3

Trigger Term Quality

Natural trigger terms a user would say are present — 'research manuscript' and 'mock peer review' anchored by an explicit 'Use when a completed research manuscript needs ... mock peer review' clause. Though 'venue-calibrated' is slightly technical, the core terms map directly to how a user would request the skill, clearing the 3 anchor; it is not merely jargon-only like the 1 anchor.

3 / 3

Distinctiveness Conflict Risk

A clear niche — 'venue-calibrated mock peer review' with 'three isolated reviewer subagents' and 'advisory reroutes' — is unlikely to collide with other skills, and the explicit 'Never revises ... executes experiments, or updates pipeline state' boundary further reduces mis-triggering, matching the 3 anchor for a distinct niche.

3 / 3

Total

12

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

referenced_paths_exist

Referenced path issues: 6 deeper-than-1-level

Warning

Total

14

/

16

Passed

Repository
tsinghua-fib-lab/AgentSociety
Reviewed

Table of Contents

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