Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/liam-machine/erd-studio/next-featuregit clone --depth 1 https://github.com/liam-machine/erd-studioWhat 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 | $0.00000 | $0.00659 |
| Opus 5 | $0.00000 | $0.00329 |
| Sonnet 5 | $0.00000 | $0.00132 |
| Haiku 4.5 | $0.00000 | $0.00066 |
Grade A, and why
next-feature scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You MUST complete ALL steps below in a single run — selecting the feature, building it, validating, updating features.json, committing, and printing the summary. Do NOT stop, pause, or ask for input between steps. The job is not done until the final summary is printed.
Step 1 — Select the next feature
- Parse
features.jsonand find the first feature wherestatusis"pending",skipis nottrue, and alldependencieshavestatus: "completed"(in ID order). If$ARGUMENTScontains a feature ID, select that specific feature instead. - If no eligible feature is found, show a progress summary and stop.
- Print the feature ID, name, and description.
Step 2 — Build the feature
- IMMEDIATELY use the
Skilltool to invoke skillfeature-dev:feature-dev. You MUST call the Skill tool — do NOT implement the feature yourself and do NOT explore the codebase beforehand. Pass the feature name, description, implementation_notes, and validation_criteria as theargsstring.
Step 3 — Validate (after feature-dev returns)
The feature-dev skill only writes code. When it returns control to you, you MUST immediately continue with validation — do NOT stop, summarise, or wait for user input.
-
Run the following checks in order. Fix any failures before proceeding.
a. Type-check —
npm run compile(tsc --noEmit for both tsconfigs). Fix type errors.b. Build —
npm run build. Verify both bundles produced without errors.c. Unit tests —
npm test. Verify all tests pass.d. Extension Development Host — If any validation criteria begin with "Verify in Extension Development Host:", launch VS Code with
code --extensionDevelopmentPath="$(pwd)"and use Chrome browser automation (claude-in-chrome) to verify UI-visible criteria. Skip if the feature is purely backend with no UI criteria.
Step 4 — Update features.json
- Update the feature's
statusfrom"pending"to"completed"infeatures.json. - If all features in the feature's phase now have
status: "completed", also update that phase'sstatusto"completed".
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.
- 2d ago First seen · 51 lines · 0 tokens per session scan A f2370186e570
next-feature is a command published in the GitHub repository liam-machine/erd-studio (5 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 659 tokens. 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 2026-08-31.
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