Chalk Labs
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Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/minxnnu-cloud-rework-budget
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security, finance
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/rework-budget
What's inside
- Skill name
rework-budget- Description
- Stop revision loops from eating the project. Use when a deliverable keeps cycling through revision rounds (r1, r2, ... r10+), when the same kind of defect keeps coming back, when every fix seems to trigger a full rebuild and re-audit, or when workspace documents are ballooning with receipts and re-audits. Encodes round budgets, minimal-successor rounds, escalation ladders, and identity gates mined from a 52-round revision-history audit.
- License
- MIT
- Instructions
- 58 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Rework Budget Rules for pipelines where an artifact is built, reviewed, rejected, and rebuilt. All of them were mined from a 52-round revision audit of a real production pipeline; over half of all rounds were **repeats of a cause that had already appeared**. ## 1. Minimal successor — close open defects only A successor round closes the previous round's open defects and does nothing else. Everything unchanged is inherited by exact reference (path + hash), not regenerated, not re-audited. The audit's cleanest rounds were labeled "minimal successor: closed 2/2 open defects"; the messiest regenerated a 90-page artifact to change two pages. Specs revise the same way: as a **delta contract** naming which clauses it supersedes — never a full rewrite. One full rejection triggered a 703KB spec rewrite; the delta that actually mattered fit in a page. ## 2. Same cause twice = escalate When the same cause category rejects a round twice, stop adjusting at that level and go up: - render tweaks repeating → the spec is wrong, fix the spec - spec fixes repeating → the direction is wrong, re-lock direction with the user - direction flapping → you're guessing; ask the user one interpretation question A third attempt at the same level was almost always waste in the audit. ## 3. A human rejection becomes a machine gate — same round Mechanical checklists catch what's *wrong* (fonts, breaks, colors). They cannot catch what's *lacking* — emptiness, density collapse, lost identity, underfill. Those arrive as human rejections. The only way the next deliverable doesn't pay the same human round: convert every human rejection into a quantitative gate (a number, a classifier, a grep) and append it to the checklist **in the round where it happened**. ## 4. Identity gates — machine-check at build time Three defect families that each burned multiple rounds, all machine-detectable: - **Stale identity.** Artifact metadata (PDF Document Info, XMP — *including orphan objects via raw scan*) must match the current course/revision; zero tokens from other courses or past revisions. A fix that cut the catalog reference but left the raw string got re-rejected one round later. - **Exact requirements.** The user's exact copy and contract numbers (minimum font sizes, required notices) live in a machine-comparable list, checked at build. Four audit findings in one round were all trivially automatable. - **Single canonical mapping.** When two frozen inputs can disagree (a TOC's page numbers vs. rendered folios), name one canonical source in the binding input and machine-compare the other against it. Two "frozen" canons that silently disagreed cost an entire 90-page candidate. ## 5. Lock only what deserves locking Hash-lock tables belong on **frozen canonical inputs** — not on every document. In the audited workspace the receipt ritual had spread to 130 of 148 documents (2.79M characters total). When everything is locked, locks stop being signal.
From minxnnu-cloud/make-new-things, MIT.
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Approve representative frames before any full render.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 18, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/minxnnu-cloud/make-new-things
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from minxnnu-cloud
- 0.552score
dual-tree-sync
minxnnu-cloud
Keep Claude Code and Codex skill trees from drifting apart.
SkillBFreshness: B★ 1Claude Code +9 - 0.547score
codex-visual-handoff
minxnnu-cloud
Division of labor for users who run both Claude and OpenAI Codex.
SkillBFreshness: B★ 1Claude Code +9 - 0.547score
styleframe-first
minxnnu-cloud
Approve representative frames before any full render.
SkillBFreshness: B★ 1Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
rework-budget skill. Agent Mart. https://agentmart.dev/skills/minxnnu-cloud-rework-budget (last updated 2026-10-24)