Agent skill

Audit Program

by foldkit in foldkit/foldkit

Audit an existing Foldkit program against the architecture, conventions, and quality bar.

MITAuto-check passedFrontend & Design

Install Audit Program

skills CLI
$ npx skills add foldkit/foldkit --skill audit-program -a claude-code

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

GitHub CLI
$ gh skill install foldkit/foldkit audit-program --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/foldkit/foldkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/audit-program .claude/skills/audit-program && 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
audit-program
GitHub stars
912
Token cost
~7.2k tokens
SKILL.md length
3,202 words
Files
2
Skills in repo
17
Repo updated
First seen
Licence
MIT

At a glance

Audit an existing Foldkit program against the architecture, conventions, and quality bar.

  • Works in 7 steps: Scope the audit → Read the canonical references → Map the project → …
  • The user wants to review their Foldkit code
  • SKILL.md covers Operating principle: report…, Phase 1: Scope the audit, Phase 2: Read the canonical… and Phase 3: Map the project, plus 5 more sections
  • Calls npm, git and node

What it does

Audit Program is an agent skill from foldkit/foldkit. Audit an existing Foldkit program against the architecture, conventions, and quality bar. Use when the user wants to review their Foldkit code, check for anti-patterns, accessibility gaps, or quality regressions. Triggers on phrases like "audit my app", "review this Foldkit code", "check for anti-patterns", "is this idiomatic?", or "what would the reviewer find?"

Its SKILL.md is about 7.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Frontend & Design, covering Customer feedback analysis. It works with Git. The licence is MIT.

When your agent uses it

  • The user wants to review their Foldkit code
  • Check for anti-patterns
  • Accessibility gaps
  • Quality regressions

Example prompts

  • “audit my app”
  • “review this Foldkit code”
  • “check for anti-patterns”
  • “/audit-program”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Scope the audit
  2. Read the canonical references
  3. Map the project
  4. Run the linter, then the mechanical scans
  5. Structural review
  6. Synthesize findings
  7. Offer fixes (opt-in)

What it can do on your machine

Read from SKILL.md and the folder at commit ffbbde1. 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

    Shell commands in SKILL.md call:

    • npm
    • git
    • node

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

  • Network

    No URLs in SKILL.md. Its commands use npm and git, which can reach the network depending on how they are called.

    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

Audit Program loads about 7.2k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 3,202 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~7.2k

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 foldkit/foldkit at commit ffbbde1, republished under its MIT licence (© foldkit). 3,202 words, ~7,171 tokens.

Download SKILL.mdSave it as .claude/skills/audit-program/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
audit-program
description
Audit an existing Foldkit program against the architecture, conventions, and quality bar. Use when the user wants to review their Foldkit code, check for anti-patterns, accessibility gaps, or quality regressions. Triggers on phrases like "audit my app", "review this Foldkit code", "check for anti-patterns", "is this idiomatic?", or "what would the reviewer find?"
argument-hint
[optional: path or focus area like a11y/effects/naming/decomposition/forms/routing/subscriptions/submodels/types/testing]

Audit an existing Foldkit program against the same bar generate-program targets: this code should be indistinguishable in quality from hand-written code in packages/typing-game/client/src/ or packages/website/src/. Not "works." Not "structurally valid." Typing-game quality.

Recommended setup: the audit is dramatically higher fidelity when repos/foldkit/ is vendored as a git subtree in the audited project. Without it, you grade against the snapshots in generate-program/architecture.md and conventions.md. With it, you grade against the live exemplars (examples/, packages/typing-game/, packages/website/), which is what those snapshots are summarizing in the first place. If the subtree is missing, recommend adding it before the audit begins, pinned to the release git tag matching the installed foldkit package so the exemplars match the APIs the project compiles against: git subtree add --prefix=repos/foldkit https://github.com/foldkit/foldkit.git "foldkit@$(node -p "require('./node_modules/foldkit/package.json').version")" --squash. For a canary install, whose version (x.y.z-canary.<commit>) has no tag, pin to the full hash of the commit it names instead, which GitHub expands at https://github.com/foldkit/foldkit/commit/<commit>.

Operating principle: report first, change nothing without consent

The audit is read-only through Phase 6. The output is a structured report. Never edit a file before the user has seen the report and explicitly approved fixes, no matter how unambiguous a finding seems, no matter how trivial the change, no matter how confident you are. Phase 7 (Offer fixes) is opt-in and gated on user consent per item or per batch.

Concretely, this means:

  • Phases 1 to 6 are pure investigation: read code, run greps, spawn review subagents, synthesize findings. No Edit, no Write, no Bash commands that modify files.
  • After delivering the report at the end of Phase 6, stop and wait. Ask whether to apply fixes. Don't bundle a fix into the same response as the report.
  • Even after the user invites fixes, structural and semantic changes still need confirmation per item. Mechanical fixes can batch only if the user explicitly accepts the batch.
  • If the user says "fix it" or "make the changes" early (before seeing findings), surface the report first anyway. The report is the value the audit provides; jumping to edits skips the consultation that lets the user prioritize and reject items.

The audit's job is to surface findings the user can act on, not to act on them silently.

Resolve $ARGUMENTS:

  • Empty → audit src/ end-to-end against every dimension
  • A path (file or directory) → narrow to that path, every dimension
  • A focus area (a11y, effects, naming, decomposition, forms, routing, subscriptions, submodels, types, testing) → audit src/ along that dimension only
  • A path AND a focus → narrow on both axes

If the argument is ambiguous (could be a path OR a focus), ask which. Don't guess.

Phase 1: Scope the audit

Sketch the audit plan in one sentence and confirm before reading code:

"I'll audit src/page/room/ for naming, decomposition, and Effect-TS idiom consistency, comparing against typing-game's room page. Sound right?"

Skip this confirmation only when the scope is unambiguous (single file, single focus). For everything else, the sketch is cheap and the user can redirect before you spend cycles on the wrong target.

Phase 2: Read the canonical references

Read these in order. Every audit, no shortcuts. They're the spec the audit grades against.

  1. Architecture guide: TEA invariants, Submodel and OutMessage pattern, Flags, Subscriptions, Mount / Command / ManagedResource / CustomElement selection
  2. Conventions guide: naming, Effect-TS idioms, Schema patterns, view conventions
  3. Verification checklist: the canonical mechanical-check + quality-bar reference
  4. Blind spots: the failure modes that survive typecheck, lint, and tests

These four files are a snapshot. When the audited project vendors repos/foldkit/, the live source wins over anything here: read the .d.ts or the example rather than grading against a remembered signature.

Do not skim. The audit's signal-to-noise depends on the auditor having internalized the bar before reading the audited code.

Phase 3: Map the project

Before deep review, build a model of the audited code:

  1. File tree. Every file in scope, with a one-line description (update.ts: handlers for ClickedSubmit, UpdatedEmail, ...).
  2. Tier. Match against the generate-program tier ladder:
    • Tier 1: single page, no async, single file
    • Tier 2: timers, subscriptions, simple stateful
    • Tier 3: async, loading/error, forms
    • Tier 4: routing, multiple pages
    • Tier 5: nested domain, CRUD
    • Tier 6: Submodels, OutMessage, multi-step flows
    • Tier 7: real-time, WebSocket, ManagedResources
  3. Foldkit modules used. Grep imports for AsyncData, Calendar, File, Http, Update, Port, Subscription, Command, Mount, ManagedResource, CustomElement, Dom from foldkit, plus foldkit/fieldValidation and any component imported from @foldkit/ui. HTTP usage shows up as HttpClient / HttpClientRequest imported from effect/http, not as a foldkit import, so grep for those separately; Http from foldkit is only the layer that provides the client. Tells you which checklist sections apply.
  4. Tier-matching exemplar. Pick at least one to read alongside the audited code:
    • Tier 1-2 → ${CLAUDE_SKILL_DIR}/../../examples/counter/src/main.ts, ${CLAUDE_SKILL_DIR}/../../examples/stopwatch/src/main.ts
    • Tier 3 → ${CLAUDE_SKILL_DIR}/../../examples/weather/src/main.ts, ${CLAUDE_SKILL_DIR}/../../examples/form/src/main.ts
    • Tier 4 → ${CLAUDE_SKILL_DIR}/../../examples/routing/src/main.ts
    • Tier 5 → ${CLAUDE_SKILL_DIR}/../../examples/kanban/src/
    • Tier 6 → ${CLAUDE_SKILL_DIR}/../../examples/auth/src/, ${CLAUDE_SKILL_DIR}/../../examples/job-application/src/
    • Tier 7 → ${CLAUDE_SKILL_DIR}/../../packages/typing-game/client/src/page/room/
  5. Foldkit UI integration. If anything is imported from @foldkit/ui, also read ${CLAUDE_SKILL_DIR}/../../examples/ui-showcase/src/main.ts and ${CLAUDE_SKILL_DIR}/../../examples/ui-showcase/src/ui/ for the wiring pattern.

The exemplar is the comparison target. When you find a pattern that smells off, ask: does the exemplar do this differently? If yes, flag it.

Phase 4: Run the linter, then the mechanical scans

The linter first

@foldkit/oxlint-plugin ships 24 AST rules covering much of what this audit grades: keyed mapped rows, no array-index keys, hard-coded route strings, empty-object tagged calls, Rel on external links, spread inside modifyFields, Got* wrapping of child output, PascalCase Command.define bindings, Mounts whose execute ignores its element, module-level mutable state, and NoOp Messages. They parse the code, so they catch what a grep misses.

Establish whether the rules are actually active, which is not the same as finding the package name. The config is the authority here, not the lint output. Locate the config before reading anything out of it. A lint script may name one with --config, and in a workspace the config usually sits above the app rather than beside it:

bash
grep -n '"lint"' package.json
find . .. ../.. -maxdepth 1 -name '.oxlintrc.json' 2>/dev/null

Finding no config is a different outcome from finding one without Foldkit in it, and the two look identical if you only read stdout. A grep against a missing file and a grep against a config that doesn't mention Foldkit both print nothing. Branch on whether the find located a file at all:

  • No config located: the outcome is Undetermined, never Not active. The project may well be linted from a parent workspace this audit didn't reach.
  • Config located: grep it for foldkit. A hit under extends pointing at the plugin's recommended.json, which is what the scaffold writes, or a jsPlugins entry naming the plugin by path specifier, which is how a monorepo or vendored setup wires it and how the Foldkit repo itself does it, means the rules are Active. No hit, but the config has an extends entry pointing somewhere else, means follow that file and repeat: a shared internal config can wire the plugin one level up. No hit and nothing left to follow is Not active.

Lint output can confirm activation but can never rule it out. Diagnostics are labelled foldkit(rule-name), so seeing foldkit( proves the rules ran, and grepping for foldkit/ finds nothing even when every rule is running. Zero foldkit( matches proves nothing at all: that is what a passing project looks like. Never infer "not active" from a quiet lint run.

  • Active: run the project's lint script. Every foldkit(...) diagnostic is a finding, reported like any other, and it outranks a grep hit on the same subject because the rule actually parsed the code. Do not re-derive those findings by hand.
  • Not active: report it as the first QUALITY item, worded as tooling. Don't file it as a BLOCKER: that bucket is defined for code that is structurally wrong and its item format requires a file:line, which a missing devDependency doesn't have. Filing it there would also fail every hand-written app on tooling grounds alone. It is still usually the highest-leverage fix in the audit, so lead the QUALITY list with it: one devDependency and one extends line buy continuous enforcement of two dozen invariants, where this audit is a snapshot. Then fall back to the greps, and say in the report that they are a weaker substitute, since they miss wrapped calls and renamed helpers. A clean grep run on an unlinted project is weak evidence, not a pass.
  • Undetermined: run the lint script anyway and treat any foldkit(...) diagnostic as the Active case, since one diagnostic settles the question. With no diagnostics, fall back to the greps as above, but say the wiring was undetermined rather than missing, and name the paths you searched. Do not recommend installing a plugin that may already be enforcing these rules.

A project scaffolded by create-foldkit-app has the plugin installed and wired by default, so an audited project lacking it usually predates the scaffold or dropped the config.

Then the scans

Run the canonical greps from the Mechanical scans block in ../generate-program/checklist.md. That checklist is the source of truth. It covers ground no rule touches (API drift, @foldkit/ui adoption, Effect idiom, a11y detail, test shape) plus the deliberate edges of rules that are narrow by design; each such grep names the rule it complements and where that rule stops. Don't duplicate the commands here, and don't delete a scan just because a rule shares its subject: check whether the rule actually covers the case. Note too that recommended.json disables every rule for **/*.test.ts and **/*.test.tsx, so the linter contributes nothing to the test-shape checks in Subagent E. Each hit is either a finding or a // NOTE: justification. Silent hits aren't allowed.

For every hit, decide:

  • Is there a // NOTE: above it justifying the deviation?
  • If yes, evaluate the justification. Is it real, or defensive rationalization? Common false-justifications: "would require duplicate state" (most @foldkit/ui components have small inline-constructable models, and the controlled render helpers have none at all), "the interaction is too custom" (the toView callback handles arbitrary HTML), "we don't want to wire toParentMessage" (that's the unavoidable cost of a11y-correct interactive widgets, paid once per use).
  • If no NOTE, it's a finding.

Mechanical scans catch the cheap stuff. They're the floor of the audit, not the ceiling.

Phase 5: Structural review

Walk every category in ../generate-program/checklist.md against the code. Every category, every item, against the actual files.

Show full SKILL.md (1,507 more words)Show less
Parallelize via subagents (Tier 4+)

For non-trivial audits, parallelize. Spawn subagents in a single message so they run concurrently. Each owns one dimension and reads the canonical reference plus the relevant audited files in parallel.

Use Agent with subagent_type: general-purpose. Suggested fan-out:

  • Subagent A (Structural correctness). Model schema completeness, Message union coverage, Message.match exhaustiveness, every Succeeded* paired with Failed*, every Command identity defined as a PascalCase constant via Command.define, every route variant rendered, no dead state variants. Native web components bound via CustomElement.define, not via OnMount + Subscription + tag-name registry. Flag any custom element wired through OnMount when its surface is just typed properties + observed attributes + dispatched CustomEvents.

  • Subagent B (Effect-TS idioms). Check that pipe keeps a transformed value as the subject of clear left-to-right data flow rather than merely rearranging an ordinary call. A single transformation is valid when that order carries meaning, including attaching an OutMessage to an existing update return. Prefer Option.match over Option.map(...).pipe(Option.getOrElse(...)), Array.match for empty/non-empty branching, Array.match over .length === 0 / .length > 0 for branching on a Model array (the isArrayEmpty / isArrayNonEmpty predicates take a mutable Array<A> and reject ReadonlyArray), modifyFields over spread, point-free modifyFields setters when they only transform the current field, callable constructors over as Type, Array.fromOption for "zero or one Command", Equal.equals in predicates, and no Effect.ignore on infallible Effects. Check AsyncData over a hand-rolled remote-data union. Inline an update return type when one Message.match is its only use. Create an UpdateReturn alias when another matcher, helper, or exported signature reuses the type. Do not repeat a return annotation on an update already constrained by Message.match<UpdateReturn>.

    Use Update.Return<Model, Message> when an update cannot emit an OutMessage. A missing outMessage field means that update emitted nothing. The outMessage?: never guard prevents a result containing an OutMessage from entering code that would keep only its Model and Commands. A hand-written alias must preserve that guard. Producers omit commands when they statically create none. They return computed Commands collections without checking whether they are empty, and never write the literal commands: [].

    Keep each result bound to an operation-named value and consume it with dot access. Do not destructure or rename model, commands, or outMessage. Optional Commands pass directly to Command.mapMessages; result.commands ?? [] is for operations that require a concrete array. Dot access keeps the operation and all of its returned fields visible together but does not prevent someone from ignoring outMessage. See repeated-scaffolding and manual-update-return-unpacking in blindSpots.md.

    Flag same-Model operations that manually thread result.model and result.commands when a later operation consumes the Model produced by an earlier one; they should use Update.combine. Update.combine needs two or more Steps. Do not wrap one Step in Update.combine; call that operation directly, and name an inline Step parameter stepModel when combining several. When the OutMessage is already known while constructing a new result, include it directly. Use Update.withOutMessage for an existing plain return or a value with the type OutMessage | undefined: pipe an existing return into the helper, and pass a new result literal first. Flag local helpers or conditional spreads that duplicate Update.withOutMessage.

    A child fold includes toParentOutMessage only when at least one child OutMessage should continue to the current Submodel's parent. For partial forwarding, match every child variant and return undefined for the variants that stop here. Omit the property when every variant stops here. foldOutMessage still handles each variant locally, including variants that continue upward. Flag toParentOutMessage: () => undefined.

  • Subagent C (Naming and decomposition). maybe* reserved for Option<T>, is* for booleans, no opaque abbreviations or unexplained single-letter names, conventional domain shorthand allowed, Updated* not Changed*, Completed* mirrors Command name verb-first, named helpers use specific verbs not generic ones, handlers over ~15 lines extracted, view branches over ~30 lines extracted, no function exceeds ~40 lines.

  • Subagent D (Foldkit UI and accessibility). Hand-rolled input / textarea / button / dialog flagged unless NOTE-justified, label/input pairing via For(id) + Id(id), dynamic errors announce via Role('alert') or AriaLive('polite'), icon-only buttons have AriaLabel, external links carry Rel('noopener noreferrer'), exactly one h1 per route, semantic landmarks (main, nav, header, footer) over div soup, focus visibility preserved (no outline-none without focus-visible: replacement).

  • Subagent E (Testing, Tier 3+). story.test.ts exists with story pipelines, every fallible Command tested for both Succeeded* and Failed* paths, at least one multi-step interaction test, Submodel tests assert outMessage, Commands resolved via Command.resolve(Definition, resultMessage) not by running Effects directly. scene.test.ts is REQUIRED at Tier 3+ and is a BLOCKER if absent. Each scene block must contain at least one expect(...) or interactive resolution. Locators must be accessible (role, label, text) over placeholder or CSS selectors.

Each subagent prompt is self-contained: the canonical references to read, the file list to audit, the dimension to grade, and the report format from Phase 6. Each returns its findings as a slice of the eventual report.

For Tier 1-2 or focused audits, do the review inline. The surface is small enough that subagent fan-out adds more overhead than it saves.

Walk these blind spots

Walk every entry in ../generate-program/blindSpots.md. That file is the canonical list, shared with generate-program's review loop, so the two skills grade against one bar. For each entry, output one line in your notes: <slug>: clean | flagged at <file:line>: <issue>. Silence is not a pass.

Final exemplar comparison

Pick one audited file at random and read it next to the equivalent file in the tier-matching exemplar. Ask:

  • Does the audited file look like it was written by the same hand?
  • Does the decomposition feel inevitable, or arbitrary?
  • If you removed any line, would a reviewer miss it?

If the answer to any of those is "no" or "I'd notice", flag the file in the report.

Phase 6: Synthesize findings

Output the report in EXACTLY this structure. No editorializing, no padding. Every line is a finding the user can act on.

## BLOCKERS
Items that are structurally wrong, logically buggy, or violate
Foldkit invariants. Must fix.
Each item: `path/to/file.ts:line: <what's wrong>. Fix: <action>`.
If none: write `None.`

## QUALITY
Items that work but fall short of the bar: generic naming, inline
handlers that should be extracted, native methods instead of Effect
modules in pipes, views that should be decomposed, branch keys or
key-only wrapper elements that view identity makes redundant, etc. Should fix.
Each item: `path/to/file.ts:line: <the gap>. Idiomatic version: <what to write>`.
Cite the exemplar when relevant: "typing-game does this as X at
page/home/update/handleKeyPressed.ts:33-40".
If none: write `None.`

## NICE-TO-HAVE
Polish items that would push quality further but aren't required:
additional tests, slightly better names, minor refactors.
If none: write `None.`

## VERDICT
One of:
- `PASS`: the code is at the bar.
- `NEEDS-WORK`: there are BLOCKERS or QUALITY items to address.

Be specific. Be brutal. Don't grade on a curve. If unsure whether something is at the bar, compare to the exemplar. If the exemplar wouldn't write it that way, flag it.

For every finding, include enough context that a reader can act without re-reading the file:

  • Bad: update.ts:47: naming issue
  • Good: update.ts:47: Message named 'ChangeEmail' should be 'UpdatedEmail' to match the verb-first past-tense convention used elsewhere in this file (UpdatedPassword, UpdatedUsername)

When findings overlap (e.g. one helper has both a naming issue and a length issue), report each separately. Don't merge: the user needs to act on each independently.

Phase 7: Offer fixes (opt-in)

Stop after delivering the report. Send it as its own message. Do not stage edits, do not pre-write a fix plan that bundles changes, do not include "I'll start applying these" in the same response as the report.

Then, in a separate turn, ask whether to apply fixes. Group by reversibility and blast radius:

  • Mechanical fixes (single-line edits, name changes, import reorders, ({}) → ()): offer to batch as one pass. Even the batch needs explicit consent. "Apply all 12 mechanical fixes?" is a real question with a real answer; don't proceed on assumed yes.
  • Structural fixes (handler extraction, Submodel introduction, view decomposition, replacing hand-rolled widgets with @foldkit/ui components): offer one at a time, confirm each, show the diff before applying.
  • Semantic fixes (changing state shape, swapping booleans for discriminated unions, restructuring update logic): describe the change in prose, get explicit approval, then apply.

Don't apply fixes silently. Don't apply fixes the user didn't approve. Don't bundle a structural change into a "mechanical" batch. If the user said "audit my app" without saying "and fix what you find", treat that as report-only and ask before doing anything else.

If the user declines fixes, the audit ends with the report.

If they accept some, apply those, then run the four gate commands and report whether they pass:

bash
npm run format      # FIRST: rewrites files
npm run lint
npm run typecheck
npm run test

Run format first because it rewrites files. Lint, typecheck, and test then verify the exact code that will be committed. If any gate fails after applying fixes, surface the failure verbatim. Don't auto-revert. Don't suppress.

End with a summary diff: which findings were resolved, which were declined, which remain open.

Notes on focus areas

When $ARGUMENTS narrows to a focus area, Phase 5 reduces to the relevant subagents and blind spots. The report still uses the BLOCKERS / QUALITY / NICE-TO-HAVE / VERDICT structure, just scoped.

Blind spots are named by their slug in ../generate-program/blindSpots.md. Cross-reference by slug, never by position.

FocusSubagentsBlind spots
a11yDhand-rolled-widgets, a11y-gaps, aria-role-confusion
effectsBrepeated-scaffolding, manual-update-return-unpacking, functions-doing-two-things, effect-module-inconsistency, stuttery-modifyFields-setters, hand-rolled-async-state, manual-cache-orchestration
namingCnaming-drift, messages-naming-the-effect, view-named-after-namespace
decompositionCrepeated-scaffolding, functions-doing-two-things
formsD + form-specific (Input / Textarea adoption, fieldValidation usage, label/input pairing)hand-rolled-widgets, a11y-gaps
routingA + routing-specific (bidirectional parser usage, route views as identity boundaries with no keyed route branches, urlToString in Internal case)hard-coded-route-paths, data-derived-keys
subscriptionsA + subscription-specific (Subscription.make shape, {} fields for always-active, message mapping inside Stream.map)state-machine-edges
testingEmissing-scene-test
submodelsA + submodel-specific (Got* wrapping, optional outMessage returns, parent ↔ child Message isolation)manual-update-return-unpacking, flat-parent-message-union, view-named-after-namespace
types(inline) type-shape and aliasingmanual-update-return-unpacking, array-type-syntax, unearned-type-aliases, hand-rolled-async-state

For focused audits, skip Phase 4's full grep block and run only the greps relevant to the focus (e.g. for a11y, run label without For, outline-none without focus-visible, and the _blank scan, reading each hit's attribute block for Rel).

© foldkit, 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 1 other file in skills/audit-program of foldkit/foldkit.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit ffbbde1

Compare with similar skills

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  • Compare Array Bundle Size

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Works with

Questions about Audit Program

What does Audit Program do?

Audit an existing Foldkit program against the architecture, conventions, and quality bar. Audit Program is an agent skill from foldkit/foldkit. Audit an existing Foldkit program against the architecture, conventions, and quality bar.

When should I use Audit Program?

Audit Program fits situations like: the user wants to review their Foldkit code; check for anti-patterns; accessibility gaps; quality regressions.

How do I install Audit Program in Claude Code?

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

How do I install Audit Program in Codex?

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

Can I use Audit Program 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 foldkit/foldkit --skill audit-program -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audit-program, .gemini/skills/audit-program, .github/skills/audit-program and .opencode/skills/audit-program in your project.

What does Audit Program need to run?

Going by SKILL.md and its folder, Audit Program needs the command-line tools its instructions call (npm, git and node).

Does Audit Program access the network?

SKILL.md contains no URLs. Its commands use npm and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Audit Program 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 Audit Program use?

Audit Program is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Audit Program use?

About 7.2k tokens (SKILL.md is roughly 29k 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 Audit Program?

Skills that share tags, products or a category with Audit Program: Context Tree Review (first-tree-ai/first-tree, 154 stars), App Review (luxury-yacht/app, 442 stars), Port Component (theexperiencecompany/gaia-ui, 221 stars) and Nutui Build Local Verify (jdf2e/nutui-react, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit Program?

foldkit (a GitHub organization) maintains it in foldkit/foldkit, which has 912 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 7, 2026.

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