Agent skill

Claw Methylation Cycle

by ClawBio in ClawBio/ClawBio

Methylation cycle analysis — enzymatic activity profiles, Net Methylation Capacity, BH4 axis estimates, compound heterozygosity detection from SNP genotype data.

MITAuto-check passedResearch & Science

Install Claw Methylation Cycle

skills CLI
$ npx skills add ClawBio/ClawBio --skill claw-methylation-cycle -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ClawBio/ClawBio claw-methylation-cycle --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/claw-methylation-cycle .claude/skills/claw-methylation-cycle && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
claw-methylation-cycle
GitHub stars
1.2k
Token cost
~4.3k tokens
SKILL.md length
1,656 words
Files
4
Skills in repo
104
Repo updated
First seen
Licence
MIT

At a glance

Methylation cycle analysis — enzymatic activity profiles, Net Methylation Capacity, BH4 axis estimates, compound heterozygosity detection from SNP genotype data.

  • Works in 8 steps: Receive input — Accept either a raw… → Panel coverage check — Compare detected… → Enzymatic activity scoring — For each… → …
  • Research & Science work in your project
  • SKILL.md covers Trigger, Workflow, Example Output and Gotchas, plus 6 more sections
  • Runs Python scripts from its folder; calls python

What it does

Claw Methylation Cycle is an agent skill from ClawBio/ClawBio. Methylation cycle analysis — enzymatic activity profiles, Net Methylation Capacity, BH4 axis estimates, compound heterozygosity detection from SNP genotype data.

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `methylation_cycle.py` and `tests/test_methylation_cycle.py`).

It sits in Research & Science. The repository describes itself as: 🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free. The licence is MIT.

When your agent uses it

  • Research & Science work in your project

Example prompts

  • “/claw-methylation-cycle”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Receive input — Accept either a raw genotype file path or a pre-parsed
  2. Panel coverage check — Compare detected rsIDs against the 9-gene
  3. Enzymatic activity scoring — For each gene, map the diplotype to an
  4. Compound heterozygosity detection — Check MTHFR C677T (rs1801133) and
  5. Net Methylation Capacity (NMC) — Compute the weighted average of all
  6. BH4 axis capacity — Derive BH4 from MTHFR activity and MTRR modifier.
  7. Prioritised recommendations — Generate PRIORITY 1 / 2 / 3
  8. Output — Write report.md (human-readable) and result.json

What it can do on your machine

Read from SKILL.md and the folder at commit dece754. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Claw Methylation Cycle loads about 4.3k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 1,656 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ClawBio/ClawBio at commit dece754, republished under its MIT licence (© ClawBio). 1,656 words, ~4,293 tokens.

Download SKILL.mdSave it as .claude/skills/claw-methylation-cycle/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
claw-methylation-cycle
description
Methylation cycle analysis — enzymatic activity profiles, Net Methylation Capacity, BH4 axis estimates, compound heterozygosity detection from SNP genotype data.
license
MIT
metadata.author
Samuel Carmona Aguirre <samuel@unimed-consulting.es>
metadata.demo_data_path
demo_input.txt
metadata.dependencies_python
>=3.9
metadata.guideline_doi
10.3390/nu13030768
metadata.input_format
23andme, adntro, ancestry
metadata.output_format
markdown, json
metadata.tags
genomics, methylation, MTHFR, neurodevelopment
metadata.trigger_keywords
methylation, MTHFR, folate cycle, BH4, homocysteine, methylation cycle, metilación, neurotransmitter synthesis
metadata.validation_tier
community

claw-methylation-cycle

Methylation cycle analysis skill for ClawBio. Produces enzymatic activity profiles, Net Methylation Capacity (NMC), BH4 axis estimates, compound heterozygosity detection, and clinician-review genotype findings from raw SNP genotype data.


Trigger

Fire this skill when:

  • The user asks about methylation, MTHFR variants, folate cycle, or homocysteine risk from a genotype file.
  • A raw SNP file (23andMe / ADNTRO / Ancestry format) is provided and the clinical question involves methylation, BH4, dopamine/serotonin synthesis capacity, or neurodevelopmental contexts (ADHD, depression, anxiety).
  • The upstream workflow (PharmGx Reporter, NutriGx Advisor) has flagged MTHFR or MTRR and the clinician needs the full methylation panel.
  • Keywords present: methylation, MTHFR, BH4, folate cycle, metilación, ciclo de metilación, homocysteine, 5-MTHF, methylcobalamin, neurotransmitter synthesis, dopamine upstream.

Do NOT fire this skill when:

  • The question is purely about folic acid supplementation without a genotype file.
  • The user is asking about MTHFR in the context of thrombophilia/clotting only — use PharmGx Reporter for warfarin/anticoagulation questions.
  • Only N-GENE polygenic risk data is available (no raw SNP file) — this skill requires genotype-level input; PRS percentiles are not sufficient.
  • The SNP file format is VCF, FASTQ, BAM, or PLINK binary — these require preprocessing before this skill can run.
  • The clinical question is exclusively pharmacogenomic (CYP enzymes) — use PharmGx Reporter instead.

Workflow

  1. Receive input — Accept either a raw genotype file path or a pre-parsed snp_dict. If a file is provided, call parse_genotype_file() to extract the rsID → genotype mapping.

  2. Panel coverage check — Compare detected rsIDs against the 9-gene methylation panel. Log missing SNPs. For any SNP absent from the input, mark the corresponding gene as not_assessed — do NOT silently assume normal activity (Safety Rule 6).

  3. Enzymatic activity scoring — For each gene, map the diplotype to an estimated activity percentage. Heterozygous risk variants reduce activity by their assigned weight; homozygous variants apply the full reduction.

  4. Compound heterozygosity detection — Check MTHFR C677T (rs1801133) and A1298C (rs1801131) simultaneously. If both are heterozygous, set compound_heterozygosity = True and apply the combined activity reduction (~15% of normal — more severe than either variant alone).

  5. Net Methylation Capacity (NMC) — Compute the weighted average of all enzyme activities. Clamp to [0, 100]. Expose coverage_pct and snps_missing; flag NMC as partial if key SNPs are absent.

  6. BH4 axis capacity — Derive BH4 from MTHFR activity and MTRR modifier. Report clinical implications for dopamine and serotonin synthesis in neurodevelopmental presentations.

  7. Prioritised recommendations — Generate PRIORITY 1 / 2 / 3 recommendations based on active findings. Lead with highest clinical impact (compound het MTHFR or severely reduced BH4).

  8. Output — Write report.md (human-readable) and result.json (structured, for downstream integration).


Example Output

╔══════════════════════════════════════════════════════════════╗
║  ClawBio · Methylation Cycle Analysis Report                 ║
║  Author: Samuel Carmona Aguirre · RUO — Not a medical device ║
╚══════════════════════════════════════════════════════════════╝

Executive Summary
─────────────────
Net Methylation Capacity : 53 / 100  🔴 Reduced
BH4 Axis Capacity        : 31 / 100  🔴 Reduced
MTHFR Compound Het.      : YES ⚠️   (C677T + A1298C)
Dopamine Synthesis       : Severely Reduced
Serotonin Synthesis      : Severely Reduced

Enzymatic Activity Profile
──────────────────────────
Gene    Activity  Status                Key Variants
MTHFR    15%     🔴 Severely reduced   C677T, A1298C
MTRR     60%     🟡 Moderately reduced A66G
MTR     100%     🟢 Normal             –
CBS     100%     🟢 Normal             –
BHMT     40%     🔴 Moderately reduced R239Q
SHMT1    80%     🟢 Mildly reduced     C1420T
COMT     55%     🟡 Moderately reduced Val158Met
AHCY    100%     🟢 Normal             –

Clinical Recommendations — FOR CLINICIAN REVIEW ONLY
──────────────────────────────────────────────────────
⚠️  The following is genotype-based information for qualified clinician use.
    Do not self-administer. All nutrients listed are reported in the peer-reviewed
    literature for the pathways indicated; dosing and indication require
    individualised clinical assessment.

Genotype findings:
  • 5-MTHF (methylfolate) preferred over synthetic folic acid (MTHFR C677T/A1298C).
    Ref: Lamers Y et al. (2004) Am J Clin Nutr 80(5):1234-41.
  • MTHFR compound het: methylcobalamin co-administration reported in literature.
    Ref: Ledford AW et al. (2021) Nutrients 13(3):768.
  • BH4 capacity at 31%: riboflavin (B2) reported as MTHFR cofactor supporting BH4
    regeneration. Ref: McNulty H et al. (2017) Am J Clin Nutr 106(1):128-36.
  • MTRR A66G: methylcobalamin preferred over cyanocobalamin per functional studies.
    Ref: Olteanu H et al. (2002) Biochemistry 41(45):13378-85.
  • BHMT R239Q: betaine and choline-rich foods reported as alternative methyl donors.
    Ref: Slow S et al. (2004) Clin Chim Acta 340(1-2):57-67.

Some literature reports an association between BH4 deficiency and
ADHD/depression/anxiety phenotypes. This genotype indicates reduced BH4
production capacity. A clinician should contextualise this finding with
the patient's clinical history.
Where clinically relevant, a clinician may evaluate whether neurodevelopmental
symptoms correlate with BH4 capacity for potential non-pharmacological support.

Gotchas

  1. Missing SNPs must never be silently normalised. The current implementation (line 471) defaults to assuming normal activity for SNPs absent from the input. This produces an artificially high NMC. When key SNPs are missing, always expose coverage_pct and snps_missing so downstream consumers know the score is partial.

  2. Compound heterozygosity is synergistic, not additive. C677T and A1298C affect different MTHFR domains. Their combined effect (~15% activity) is greater than either variant alone. Do not compute as activity(677) × activity(1298).

  3. BH4 capacity is an estimate, not a measured value. The BH4 score is derived from MTHFR activity and literature-based weights. It does not account for DHFR variation or dietary cofactor availability. Always include the RUO disclaimer.

  4. COMT Val158Met has a dual role. rs4680 appears in both methylation (SAM consumption) and dopamine/catecholamine panels. Always note this — do not report it in isolation.

  5. DTC array coverage varies by platform. ADNTRO covers all 9 panel SNPs for most European-ancestry samples. 23andMe v3 and Ancestry v1 may not include rs1801394 (MTRR) or rs3733890 (BHMT). Always check snps_missing.

  6. This skill does not cover pharmacogenomics. SLCO1B1, CYP enzymes, and statin/warfarin risk belong to PharmGx Reporter, not this skill.


Domain Decisions

Genes and Variants Assessed
GenersIDVariantAllele AssessedEffect Direction
MTHFRrs1801133C677TT (risk)Decreased MTHFR activity
MTHFRrs1801131A1298CC (risk)Decreased MTHFR activity
MTRRrs1801394A66GG (risk)Decreased MTRR activity
MTRrs1805087A2756GG (risk)Decreased MTR activity
CBSrs234706C699TT (risk)Increased CBS activity
BHMTrs3733890R239QA (risk)Decreased BHMT activity
SHMT1rs1979277C1420TT (risk)Decreased SHMT1 activity
COMTrs4680Val158MetA/Met (risk)Decreased COMT activity
AHCYrs819147AHCYT (risk)Decreased AHCY activity
Enzymatic Activity Estimates

Activity is estimated as a percentage of normal function based on homozygous vs. heterozygous status of risk alleles. These are approximations derived from published functional studies — they are NOT direct enzyme assays.

GenotypeEstimated Activity
0 risk alleles (WT)100%
1 risk allele (het)60–80% (gene-specific, see below)
2 risk alleles (hom)15–40% (gene-specific, see below)

Gene-specific estimates (homozygous risk):

  • MTHFR C677T homozygous: ~30% of normal
  • MTHFR A1298C homozygous: ~60% of normal
  • MTHFR compound heterozygous (C677T + A1298C): ~15% of normal
  • MTRR A66G homozygous: ~60% of normal
  • BHMT R239Q homozygous: ~40% of normal
  • COMT Val158Met homozygous (Met/Met): ~25% of normal
  • SHMT1 C1420T homozygous: ~60% of normal

Source: Nazki FH et al. (2014) Gene 533(1):11-20; Ledford AW et al. (2021) Nutrients 13(3):768.

Net Methylation Capacity (NMC) Score

NMC is a composite index (0–100) derived from weighted enzymatic activities:

  • MTHFR: weight 0.35 (primary rate-limiting enzyme)
  • MTRR: weight 0.15
  • BHMT: weight 0.15
  • COMT: weight 0.10
  • MTR: weight 0.10
  • CBS: weight 0.05 (inverse — upregulation diverts homocysteine)
  • SHMT1: weight 0.05
  • AHCY: weight 0.05

NMC < 40: Severely reduced NMC 40–60: Moderately reduced NMC 60–80: Mildly reduced NMC > 80: Within normal range

Note (ACMG 2013): Routine population screening for MTHFR variants is not recommended for thrombosis risk assessment. This tool reports genotype facts for clinician contextualisation; NMC bands are descriptive outputs, not intervention triggers. Clinical decisions require individual patient evaluation.

BH4 Axis Capacity

BH4 (tetrahydrobiopterin) is an essential cofactor for tyrosine hydroxylase (dopamine) and tryptophan hydroxylase (serotonin). MTHFR activity directly constrains BH4 regeneration via the folate cycle.

  • Base BH4 capacity = MTHFR_activity × MTRR_modifier
  • MTRR_modifier: homozygous risk = 0.75; heterozygous = 0.88; WT = 1.0

BH4 thresholds:

  • < 40%: Severely reduced — neurotransmitter synthesis substantially constrained
  • 40–65%: Moderately reduced — may be clinically relevant; clinician to contextualise
  • 65%: Within normal range

Show full SKILL.md (664 more words)Show less
Compound Heterozygosity

MTHFR compound heterozygous (C677T + A1298C simultaneously) is the most clinically significant single-gene methylation finding. Total MTHFR activity is reduced more than either variant alone. Flagged explicitly in output.

Author and Attribution

Developed by Samuel Carmona Aguirre (samuel@unimed-consulting.es) as part of a contribution to the ClawBio open-source bioinformatics library.

Conflict of Interest (COI): The author develops clinical genomics workflows in a private practice context and may use tools derived from this skill as a component in those workflows. This skill is contributed as a standalone open-source genotype reporting tool; its output is not specific to any proprietary clinical platform. All clinical integration decisions rest with the qualified end-user clinician.

ACMG caveat on MTHFR testing (Green et al., Genet Med 2013, 15:153–156): Routine population screening for MTHFR variants is not currently recommended by ACMG for assessment of thrombosis risk, neural tube defect risk, or psychiatric phenotypes. Genotype findings from this tool should be interpreted in the context of the individual patient's clinical history by a qualified clinician.


Safety Rules

  1. Never report a clinical diagnosis. Always include the RUO disclaimer.
  2. Never recommend specific drug dosages or prescribe medication changes.
  3. Always flag MTHFR compound heterozygous status as requiring clinical review.
  4. Flag BH4 capacity < 40% with an explicit neurodevelopmental warning.
  5. Never extrapolate to ancestries not represented in source studies (validated primarily in European-ancestry populations).
  6. Unknown SNPs or SNPs not in the input must be reported as "Not assessed" — never assume wildtype.
  7. All supplementation suggestions are Priority-ranked guidance for a clinician, not direct patient instructions.

Agent Boundary

In Scope
  • Genotype extraction for 9 methylation-cycle genes from raw DTC files
  • Enzymatic activity estimation (percentage of normal function)
  • Net Methylation Capacity (NMC) composite index calculation
  • BH4 axis capacity estimation and neurotransmitter synthesis impact
  • MTHFR compound heterozygosity detection and flagging
  • Prioritised clinical recommendations for clinician review
  • JSON output for integration with downstream clinical decision-support systems
Out of Scope
  • Dosing recommendations (requires clinical context and prescribing authority)
  • Diagnosis of methylation disorders or neurodevelopmental conditions
  • Drug-drug interaction analysis (see PharmGx Reporter)
  • Epigenetic state (methylation is a phenotype; this skill assesses genotype only)
  • Whole-genome or whole-exome sequencing data (SNP array input only)
  • Direct patient communication (output is for qualified clinician use)

Usage

bash
python skills/claw-methylation-cycle/methylation_cycle.py \
  --input path/to/genotype.txt \
  --output results/

References

  • Nazki FH et al. (2014). Folate: metabolism, genes, polymorphisms. Gene, 533(1), 11-20.
  • Ledford AW et al. (2021). MTHFR and BH4 pathway in neuropsychiatric disorders. Nutrients, 13(3):768.
  • Stover PJ (2009). One-carbon metabolism-genome interactions. J Nutr, 139(12), 2402-5.
  • Lamers Y et al. (2004). Supplementation with [6S]-5-methyltetrahydrofolate or folic acid equally reduces plasma total homocysteine. Am J Clin Nutr, 80(5):1234-41.
  • McNulty H et al. (2017). Riboflavin lowers homocysteine in children and adults with common MTHFR polymorphism. Am J Clin Nutr, 106(1):128-36.
  • Olteanu H et al. (2002). Differences in the efficiency of reductive methylation of cob(II)alamin. Biochemistry, 41(45):13378-85.
  • Slow S et al. (2004). Plasma betaine and homocysteine. Clin Chim Acta, 340(1-2):57-67.
  • Esteller M. (2014). Introduccion a la epigenetica. SEBBM, 179:4-6.
  • Spuch C, Agis-Balboa RC. (2014). Epigenetica en neurociencias. SEBBM, 179:18-21.
  • Green RC et al. (2013). ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing. Genet Med, 15(7):565-74.
  • ClawBio (2026). https://github.com/ClawBio/ClawBio

Changelog

VersionDateChange
0.1.02026-04-07Initial release. Validated on ASES-2307-002.
0.1.12026-04-14Fixed SKILL.md per PR #133: single YAML block, added Trigger, Workflow, Example Output, Gotchas. Removed unused pandas. Documented line-471 design decision.
0.1.22026-05-12Framing revisions per Manuel Corpas review: reworded BH4 causal language to association-based; reformatted supplement list as clinician-review block with per-nutrient citations; added 6 DOIs; converted em-dashes to ASCII in test docstrings; removed duplicate top-level test file.
0.1.32026-05-15Per PR #133 third review: (1) removed all specific dosages from recommendations; (2) stripped Holomedicina/CAPS/UNIMED/MH-AIAP branding from YAML, description, trigger, example output, Domain Decisions, report header — kept as author attribution only; (3) reframed NMC and BH4 bands as descriptive outputs, not intervention triggers; (4) added ACMG 2013 caveat on routine MTHFR testing; (5) added author COI disclosure; (6) removed obsolete Gotcha #5 (pandas); (7) softened compound het "strongly indicated" language.

© ClawBio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in skills/claw-methylation-cycle of ClawBio/ClawBio.

  • SKILL.md
  • demo_input.txt
  • methylation_cycle.py
  • tests/test_methylation_cycle.py

Open the folder on GitHubat commit dece754

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Questions about Claw Methylation Cycle

What does Claw Methylation Cycle do?

Methylation cycle analysis — enzymatic activity profiles, Net Methylation Capacity, BH4 axis estimates, compound heterozygosity detection from SNP genotype data. Claw Methylation Cycle is an agent skill from ClawBio/ClawBio. Methylation cycle analysis — enzymatic activity profiles, Net Methylation Capacity, BH4 axis estimates, compound heterozygosity detection from SNP genotype data.

When should I use Claw Methylation Cycle?

Claw Methylation Cycle fits situations like: research & Science work in your project.

How do I install Claw Methylation Cycle in Claude Code?

Run `npx skills add ClawBio/ClawBio --skill claw-methylation-cycle -a claude-code`. Or copy the skill folder (skills/claw-methylation-cycle in ClawBio/ClawBio) into .claude/skills/claw-methylation-cycle in your project. Claude Code loads it when a task matches its description.

How do I install Claw Methylation Cycle in Codex?

Run `npx skills add ClawBio/ClawBio --skill claw-methylation-cycle -a codex`. Or copy the skill folder (skills/claw-methylation-cycle in ClawBio/ClawBio) into .agents/skills/claw-methylation-cycle in your project. Codex loads it when a task matches its description.

Can I use Claw Methylation Cycle in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ClawBio/ClawBio --skill claw-methylation-cycle -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/claw-methylation-cycle, .gemini/skills/claw-methylation-cycle, .github/skills/claw-methylation-cycle and .opencode/skills/claw-methylation-cycle in your project.

What does Claw Methylation Cycle need to run?

Going by SKILL.md and its folder, Claw Methylation Cycle needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Claw Methylation Cycle access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Claw Methylation Cycle safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Claw Methylation Cycle use?

Claw Methylation Cycle is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Claw Methylation Cycle use?

About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Claw Methylation Cycle?

Skills that share tags, products or a category with Claw Methylation Cycle: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Claw Methylation Cycle?

ClawBio (a GitHub organization) maintains it in ClawBio/ClawBio, which has 1,154 GitHub stars. The repository holds 104 skills in this directory. The repository was last updated on October 8, 2026.

Source: ClawBio/ClawBio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.