A development guide for adding a new `wdd` command, including its implementation, command-line routing, help text, and documentation.

Use it to add a subcommand, connect it to the CLI, handle ledger changes through the approved mechanism, update documentation, and run verification.

It prevents a new command from being implemented in only one place or bypassing the project's safe write path.

How zhu-kai/whodecided configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to zhu-kai/whodecided. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/zhu-kai/whodecided/main/.claude/skills/add-command/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/zhu-kai/whodecided

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zhu-kai/whodecided/add-command/github.svg)](https://agentmods.dev/skills/zhu-kai/whodecided/add-command)

Your own site

<a href="https://agentmods.dev/skills/zhu-kai/whodecided/add-command"><img src="https://agentmods.dev/badge/skills/zhu-kai/whodecided/add-command/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/zhu-kai/whodecided/add-command"><img src="https://agentmods.dev/badge/skills/zhu-kai/whodecided/add-command.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 305 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00039	$0.00305
Opus 5.5	$0.00016	$0.00122
Sonnet 5.5	$0.00008	$0.00061
Haiku 4.5	$0.00004	$0.00030

Measured 1mo ago against content hash 78c4e8135bf6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

add-command scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/add-command/SKILL.md · 18 lines

What it actually says

A wdd subcommand is wired in three places. To add foo:

src/commands/foo.ts — export foo(args: string[]): number | Promise<number>.
- Read-only work (locate → parse → extract) goes through resolveScope(args, process.cwd()).
- Any ledger mutation goes through applyOps in src/patch/apply.ts — the single write path. Never write .wdd/ledger.jsonl anywhere else (the one exception is the distill append in commands/distill.ts).
- If it writes, respect config: commit only when config.commit === "on", and honor config.share.
src/cli.ts — add "foo" to the commands array, then a routing branch that dynamic-imports and calls it (mirror the existing branches).
Docs — add a foo row to the --help text in src/cli.ts and to the command table in README.md.

Then run /verify (build + test). Keep the invariants in AGENTS.md intact - especially: precedent is human-ruled only, and hooks must never throw.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

1mo ago First seen · 18 lines · 39 tokens per session scan A 78c4e8135bf6

Subscribe to this mod's changes

add-command is a skill published in the GitHub repository zhu-kai/whodecided (22 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 305 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude Code LLM ai-agents cli developer-tools

datamol

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters…

synthetic-sciences/openscience · 67 tokens

clinicaltrials-database

Query ClinicalTrials.gov via API v2. Search trials by condition, drug, location, status, or phase. Retrieve trial details by NCT ID, export data, for clinical research and patient matching.

synthetic-sciences/openscience · 47 tokens

glycoengineering

Analyze and engineer protein glycosylation. Scan sequences for N-glycosylation sequons (N-X-S/T), predict O-glycosylation hotspots, and access curated glycoengineering tools (NetOGlyc, GlycoShield, GlycoWorkbench). For glycoprotein engineering, therapeutic antibody optimization, and vaccine design.

synthetic-sciences/openscience · 75 tokens

esm

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel…

synthetic-sciences/openscience · 86 tokens

pysam

Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.