CtrlK
BlogDocsLog inGet started
Tessl Logo

deep-research

Runs a deep, survey-grade literature investigation on a research topic: freezes research questions, searches from multiple adversarial perspectives, verifies every citation, synthesizes evidence into a MECE taxonomy with in-sentence cross-comparison, and answers the research questions in an evidence-first report. Use when the user asks for a literature review, a survey of a field, research landscape mapping, or a deep dive into what is known about a topic.

80

Quality

100%

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

SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

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

A well-structured, operational skill body: lean, concrete, and sequenced with explicit validation gates and an iteration loop. Detail is appropriately pushed to one-level-deep reference files that all exist.

DimensionReasoningScore

Conciseness

The body is lean and operational — it adds process knowledge Claude does not have (the six gates, MECE synthesis, hedge ladder) without explaining known concepts; a few atmospheric overview lines keep it just above the level-2 verbosity floor but every section earns its place.

3 / 3

Actionability

Gives concrete, executable procedural guidance — "Generate three to five search perspectives" with five enumerated perspectives, a six-gate table with severities and failure routes, and specific RQ-conversion examples — not the vague level-1 or pseudocode level-2 case.

3 / 3

Workflow Clarity

Clear sequence (Step 0 freeze brief → Phase 1 scout/verify → Phase 2 synthesize → gates → presentation) with explicit validation checkpoints (CRITICAL/MAJOR severities) and a feedback loop ("Iterate until every gate is CLEAR"), matching the level-3 anchor with error-recovery routes.

3 / 3

Progressive Disclosure

SKILL.md is an operational overview pointing to seven one-level-deep references (quality-gates, search-strategy, citation-protocol, synthesis-framework, self-adversarial, output-structure, hedge-calibration), all verified to exist and clearly signaled; no scripts or assets are needed, matching the well-split level-3 anchor.

3 / 3

Total

12

/

12

Passed

Description

100%Weight 40%Scale 1-3

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, specific, third-person description that names concrete actions, supplies natural trigger terms, and explicitly answers both what and when. It is distinctive and unlikely to conflict with sibling skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — "freezes research questions, searches from multiple adversarial perspectives, verifies every citation, synthesizes evidence into a MECE taxonomy with in-sentence cross-comparison, and answers the research questions" — matching the top anchor; it is not a vague domain-only statement (level 2) nor abstract (level 1).

3 / 3

Completeness

Clearly answers both what it does (the survey-grade investigation pipeline) and when to use it (explicit "Use when..." clause), matching the level-3 anchor; it is not missing the when trigger (which would cap it at 2).

3 / 3

Trigger Term Quality

"Use when the user asks for a literature review, a survey of a field, research landscape mapping, or a deep dive into what is known about a topic" gives good coverage of natural terms users would say; voice is third person ("Runs"), not level 2 which would lack common variations.

3 / 3

Distinctiveness Conflict Risk

It carves a clear literature-review/survey niche with distinct triggers unlikely to fire for the wrong skill; it is not the generic level-1 or the overlapping level-2 case.

3 / 3

Total

12

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
HKUSTDial/Supervisor-Skills
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.