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tooluniverse-electron-microscopy

Search and analyze electron microscopy data — cryo-EM density maps (EMDB), fitted atomic models (PDB), raw micrograph datasets (EMPIAR), and cryo-electron tomography volumes (CryoET Data Portal). Use for finding 3D structural data on a protein/complex, comparing experimental EM resolution to AlphaFold confidence, and accessing raw EM data for re-processing.

68

Quality

81%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

62%

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

A well-structured, domain-rich skill with an excellent phased workflow, decision matrices, and edge-case handling. Its main weaknesses are mild verbosity from background explanation and a tangential IDR section, a lack of executable call examples for the core EM tools, and no progressive disclosure to bundle files.

Suggestions

Add at least one executable `tu.run_tool(...)` example for each core EM phase (EMDB, PDB, EMPIAR, CryoET, AlphaFold) so the main pipeline is copy-paste ready, not just the IDR aside.

Trim background Claude already knows (the TEM/Cryo-EM/SEM modality primer) and consolidate the resolution-band tables into one reference to remove repetition.

Move the detailed per-phase tool input/output specs and the IDR resource section into separate reference files (e.g., TOOLS.md, IDR.md) and link to them from SKILL.md for proper progressive disclosure.

DimensionReasoningScore

Conciseness

The core tool specs and workflows are efficient and domain-specific, but the body pads in background Claude already knows ('TEM resolves individual protein complexes (~2nm). Cryo-EM achieves near-atomic resolution (<4Å)... SEM shows surface topology.'), repeats resolution bands across three sections, and devotes a long inline aside to the tangential IDR resource.

2 / 3

Actionability

Each phase names concrete tools with exact input parameters and output fields, and a runnable `tu.run_tool("IDR_search_studies", {...})` example appears — but the six core EM phases give only prose input/output specs with no executable call examples, leaving the main pipeline not copy-paste ready.

2 / 3

Workflow Clarity

A clear 8-phase sequence with an overview diagram and per-phase numbered steps, plus a quality-assessment checklist, fitting-quality indicators, and edge-case fallbacks (e.g., no EMDB entries → PDB method filter) that serve as error recovery; the read-only nature means the destructive-operation cap does not apply.

3 / 3

Progressive Disclosure

Internally well-organized with clear headers and tables, but it is a single ~290-line monolithic file with no bundle files or one-level-deep references; content such as the detailed per-phase tool specs and the lengthy IDR aside could be split into separate reference files.

2 / 3

Total

9

/

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.

A strong, third-person description that states concrete capabilities across four named EM databases and provides explicit 'Use for' trigger guidance covering three realistic use cases. It is specific, complete, and unlikely to conflict with adjacent structural-biology skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions across named resources — 'Search and analyze electron microscopy data', 'finding 3D structural data', 'comparing experimental EM resolution to AlphaFold confidence', 'accessing raw EM data for re-processing' — naming EMDB, PDB, EMPIAR, and CryoET Data Portal specifically.

3 / 3

Completeness

Clearly answers both what ('Search and analyze electron microscopy data — ...') and when via an explicit 'Use for finding..., comparing..., and accessing...' trigger clause; not capped at 2 because the trigger guidance is explicit.

3 / 3

Trigger Term Quality

Strong coverage of natural terms a structural-biology user would say: 'cryo-EM', 'EMDB', 'PDB', 'EMPIAR', 'cryo-electron tomography', 'raw micrograph datasets', 'AlphaFold confidence', and 're-processing'.

3 / 3

Distinctiveness Conflict Risk

Tightly scoped to electron-microscopy modalities (cryo-EM maps, tomography, micrographs) with distinct database triggers, clearly separate from X-ray/NMR structure search or protein-structure prediction skills.

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
mims-harvard/ToolUniverse
Reviewed

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