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13c-metabolic-flux

Estimates intracellular metabolic fluxes from steady-state carbon-13 isotope-tracing measurements using validated atom maps, mfapy isotope simulation, constrained multistart fitting, and flux-profile diagnostics. Use for 13C-MFA, carbon tracing, mass isotopomer distributions (MDVs/MIDs), positional isotopomers, parallel tracer experiments, and determining whether labeling data constrain a pathway flux. Distinguishes measured-label inference from COBRA flux balance analysis and flags experiments requiring nonstationary MFA.

77

Quality

97%

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SKILL.md
Quality
Evals
Security

Quality

Content

92%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 strong, disciplined skill body: executable commands with verifiable expected outputs, a validated six-step workflow with explicit error-recovery loops, and clean progressive disclosure into verified one-level references. The only weakness is a small amount of dated versioning housekeeping in the install section that could be trimmed or pushed to a reference.

Suggestions

Trim the mfapy versioning discrepancy note ("Its README labels the latest change '064', but its installed distribution still reports `0.6.3'") to a single actionable sentence, or move it to references/inference.md; keep only the instruction to record the Git commit alongside the package version.

Replace the dated sentence "The pinned commit matched upstream `master` on 2026-09-30" with a pointer to the pinned revision in assets/requirements.txt; the specific date will go stale and adds no action for the user.

DimensionReasoningScore

Conciseness

The body is dense and directive with no explanation of concepts Claude already knows; statements like "Stable metabolite abundance does not establish isotopic steady state" are domain-specific discipline, not padding. However, the dated housekeeping paragraph ("The pinned commit matched upstream `master` on 2026-09-30. Its README labels the latest change '064', but its installed distribution still reports `0.6.3`") is time-sensitive trivia that could be trimmed, so it is efficient-with-minor-trimmables (level 4) rather than every-token-earns-its-place (level 5).

4 / 5

Actionability

Fully executable, copy-paste-ready commands throughout: "uv venv --python 3.12 .venv-mfa", the install command with a concrete requirements path, and the three CLI subcommands (check, simulate, fit) with complete flags and file names. Worked examples even state expected numeric results for verification ("the analytical 95% interval for `straight` is about 67.55–72.45", the published MDV values), covering the common cases with no gaps, matching the top anchor.

5 / 5

Workflow Clarity

The six-step workflow has an explicit validation step (step 2's check command "checks atom counts and conservation, fragments, tracer sums, uncertainty matrices, bounds, and steady-state mass-balance feasibility" with its limits stated), explicit feedback loops ("If a profile finds a better solution than the baseline, rerun the fit; do not publish the stale intervals", "Refine the grid if they are too coarse", "repeat with a different seed and more starts"), and a delivery checklist in step 6. This matches the anchor requiring explicit validation, error-recovery loops, and checklists rather than the minor-gaps level 4.

5 / 5

Progressive Disclosure

The body is a clear overview that keeps detailed material out of SKILL.md and signals one-level-deep references exactly at the point of need: "Read [references/input-contract.md](references/input-contract.md) when preparing inputs. Read [references/inference.md](references/inference.md) before interpreting an actual fit." Both reference files exist and contain real content with no nested pointers (only external documentation links), the engine pin lives in assets/requirements.txt, and every asset/script path in the worked examples resolves to a real bundled file. Split, signaling, and navigation all match the top anchor rather than the minor-organization-gaps level 4.

5 / 5

Total

19

/

20

Passed

Description

100%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 a model example: third-person concrete verbs, an explicit 'Use for' clause with natural domain triggers and synonyms, comprehensive action coverage, and active boundary statements distinguishing it from COBRA/FBA and nonstationary MFA. No vagueness, over-claims, or padding are present.

DimensionReasoningScore

Specificity

"Estimates intracellular metabolic fluxes from steady-state carbon-13 isotope-tracing measurements using validated atom maps, mfapy isotope simulation, constrained multistart fitting, and flux-profile diagnostics" lists multiple specific concrete actions, and "Distinguishes measured-label inference from COBRA flux balance analysis" and "flags experiments requiring nonstationary MFA" add boundary actions. Coverage spans estimation, simulation, fitting, diagnostics, and edge-case flagging with no gaps, matching the comprehensive-action anchor rather than the 'minor gaps' level 4.

5 / 5

Completeness

The 'what' is explicit and concrete ("Estimates intracellular metabolic fluxes... using validated atom maps, mfapy isotope simulation, constrained multistart fitting, and flux-profile diagnostics") and the 'when' is an explicit trigger clause ("Use for 13C-MFA, carbon tracing, ... determining whether labeling data constrain a pathway flux"). Both are answered clearly and with concrete trigger phrases, matching the top anchor; level 4 would require the when-clause to be less explicit.

5 / 5

Trigger Term Quality

"Use for 13C-MFA, carbon tracing, mass isotopomer distributions (MDVs/MIDs), positional isotopomers, parallel tracer experiments, and determining whether labeling data constrain a pathway flux" covers the natural phrases a user would say in this domain, including both acronym (13C-MFA) and spelled-out synonyms (carbon tracing, MDVs/MIDs given as variants). No natural domain term is missing, so it fits the comprehensive-synonyms anchor rather than 'a few natural terms missing'.

5 / 5

Distinctiveness Conflict Risk

"Distinguishes measured-label inference from COBRA flux balance analysis and flags experiments requiring nonstationary MFA" actively separates this skill from the adjacent FBA and INST-MFA skills, and the isotope-tracing niche ("steady-state carbon-13 isotope-tracing measurements", "mass isotopomer distributions") has distinct triggers with minimal conflict risk. It matches the clear-niche anchor rather than the 'minor overlap risk' level 4.

5 / 5

Total

20

/

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

K-Dense-AI/scientific-agent-skills

Path

skills/13c-metabolic-flux/SKILL.md

Reviewed

Table of Contents

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