Agent skill

Night Market Model And Harness Updates

by athola in athola/claude-night-market

Sweep plugins, skills, agents, commands, and hooks after a model release or Claude Code version bump.

MITAuto-check passed

Install Night Market Model And Harness Updates

skills CLI
$ npx skills add athola/claude-night-market --skill night-market-model-and-harness-updates -a claude-code

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

GitHub CLI
$ gh skill install athola/claude-night-market night-market-model-and-harness-updates --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/athola/claude-night-market.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/night-market-model-and-harness-updates .claude/skills/night-market-model-and-harness-updates && 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
night-market-model-and-harness-updates
GitHub stars
341
Token cost
~1.2k tokens
SKILL.md length
548 words
Files
5
Skills in repo
152
Repo updated
First seen
Licence
MIT

At a glance

Sweep plugins, skills, agents, commands, and hooks after a model release or Claude Code version bump.

  • Use night-market-change-control
  • SKILL.md covers When to run, The five steps, What the detector proves and… and Modules, plus 2 more sections
  • Calls python3, claude and uv

What it does

Night Market Model And Harness Updates is an agent skill from athola/claude-night-market. Sweep plugins, skills, agents, commands, and hooks after a model release or Claude Code version bump. Use when upstream ships. Do not use for routine edits; use night-market-change-control.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `modules/asset-sweep.md`, `modules/drift-detection.md` and `modules/research-protocol.md`).

The repository describes itself as: 23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context… The licence is MIT.

When your agent uses it

  • Use night-market-change-control

Example prompts

  • “/night-market-model-and-harness-updates”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 9f3eb00. 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:

    • python3
    • claude
    • uv

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

  • Network

    No URLs in SKILL.md. Its commands use uv, 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

Night Market Model And Harness Updates loads about 1.2k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 548 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 athola/claude-night-market at commit 9f3eb00, republished under its MIT licence (© athola). 548 words, ~1,162 tokens.

Download SKILL.mdSave it as .claude/skills/night-market-model-and-harness-updates/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
night-market-model-and-harness-updates
description
Sweep plugins, skills, agents, commands, and hooks after a model release or Claude Code version bump. Use when upstream ships. Do not use for routine edits; use night-market-change-control.

Night Market Model and Harness Updates

When Anthropic ships a model or Claude Code ships a version, the pins scattered through this repo rot silently. This skill runs the sweep that finds the rot, researches what actually changed, applies the updates, and records where upstream stood so the next run reports only the new delta.

The watermark is the point. Without it every audit restarts from zero and re-derives the same answer by hand. .claude/upstream-baseline.json holds the last recorded upstream state, and each run diffs against it.

When to run

TriggerSignal
Model releaseA tier or model ID ships that the ledger does not record
Harness releaseclaude --version differs from the ledger
Scheduled checkMonthly, to catch a release nobody noticed

The five steps

Run them in order. Each one gates the next.

bash
# 1. Detect. Deterministic, no model in the loop.
python3 scripts/check_upstream_drift.py

# 2. Research what changed (only when step 1 reports drift).
#    Release notes and model cards are mandatory sources.

# 3. Map findings onto asset classes.

# 4. Sweep the implicated classes.

# 5. Prove, then record the new watermark.
python3 scripts/check_upstream_drift.py && \
python3 scripts/check_agent_model_matrix.py

Step 5 runs before the ledger is written, never after. Recording a migration that has not passed its proof is the failure the ledger exists to prevent.

What the detector proves and what it cannot

Harness drift is fully deterministic: the installed binary reports its own version. Model drift is not. No local command enumerates the current roster, so the ledger holds the last known roster and research establishes the current one. The skill states this split rather than pretending both halves are automatic.

The detector reports four classes:

ClassMeaning
harnessInstalled version differs from the ledger
vocabularyA gate's frozen set omits a value the ledger records
dated_idsDated model IDs above the recorded ratchet
unknown_tierFrontmatter names a tier absent from the roster

The vocabulary class is the one that earns this skill. VALID_MODELS in scripts/check_agent_model_matrix.py is a hard gate that rejects any agent pinning an unlisted tier. When Fable shipped and that set was not widened, the guard whose job was to prevent model rot had itself rotted, and no agent in the repo could pin the new tier. The detector now fails on that condition instead of waiting for someone to trip over it.

Show full SKILL.md (214 more words)Show less

Modules

Load only what the run needs.

ModuleLoad when
modules/drift-detection.mdAlways, at step 1
modules/research-protocol.mdStep 1 reported drift
modules/asset-sweep.mdResearch produced findings to apply
modules/verification.mdBefore writing the ledger

Guardrails

  • Widen vocabularies, never narrow them. Removing an accepted value breaks agents that currently pass.
  • Agent frontmatter pins tier aliases, never dated model IDs. check_agent_model_matrix.py enforces this and the policy stands. A new tier widens the vocabulary. It does not reverse the rule.
  • The dated_ids ratchet may fall and may hold. Raising it needs a reason recorded in the migration report.
  • External captures under data/staging/ are other people's text. The detector skips them and so does the sweep.

Exit Criteria

  • python3 scripts/check_upstream_drift.py exits 0.
  • python3 scripts/check_agent_model_matrix.py exits 0.
  • uv run pytest tests/unit/test_check_upstream_drift.py passes.
  • Every research claim applied carries a source URL, and release notes plus the model card were both consulted.
  • A migration report exists under docs/migrations/. The directory is gitignored, so the report is a local working artifact. Route durable content out of it before you finish: findings to docs/knowledge-corpus/, open items to docs/backlog/queue.md, state to the ledger.
  • .claude/upstream-baseline.json records the new harness version, model roster, and last_migration, with the previous entry appended to history.
  • Any asset class the research implicated was either updated or recorded in the report as deliberately skipped.

© athola, 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 4 other files in .claude/skills/night-market-model-and-harness-updates of athola/claude-night-market.

  • SKILL.md
  • modules/asset-sweep.md
  • modules/drift-detection.md
  • modules/research-protocol.md
  • modules/verification.md

Open the folder on GitHubat commit 9f3eb00

Compare with similar skills

Night Market Model And Harness Updates next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Night Market Model And Harness Updates compared with similar skills
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Night Market Model And Harness Updates this skillathola/claude-night-market341—~1.2kAutomated safety check: PassMIT
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Update Docsvercel/next.js143k—~1.9kAutomated safety check: PassMIT
UI Updatesickn33/agentic-awesome-skills47k1 repos~1.4kAutomated safety check: PassMIT
Update Team Serveropenclaw/openclaw392k—~4.2kAutomated safety check: PassMIT
Update Specificationgithub/awesome-copilot40k1 repos~1.4kAutomated safety check: PassMIT

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Questions about Night Market Model And Harness Updates

What does Night Market Model And Harness Updates do?

Sweep plugins, skills, agents, commands, and hooks after a model release or Claude Code version bump. Night Market Model And Harness Updates is an agent skill from athola/claude-night-market. Sweep plugins, skills, agents, commands, and hooks after a model release or Claude Code version bump.

When should I use Night Market Model And Harness Updates?

Night Market Model And Harness Updates fits situations like: use night-market-change-control.

How do I install Night Market Model And Harness Updates in Claude Code?

Run `npx skills add athola/claude-night-market --skill night-market-model-and-harness-updates -a claude-code`. Or copy the skill folder (.claude/skills/night-market-model-and-harness-updates in athola/claude-night-market) into .claude/skills/night-market-model-and-harness-updates in your project. Claude Code loads it when a task matches its description.

How do I install Night Market Model And Harness Updates in Codex?

Run `npx skills add athola/claude-night-market --skill night-market-model-and-harness-updates -a codex`. Or copy the skill folder (.claude/skills/night-market-model-and-harness-updates in athola/claude-night-market) into .agents/skills/night-market-model-and-harness-updates in your project. Codex loads it when a task matches its description.

Can I use Night Market Model And Harness Updates 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 athola/claude-night-market --skill night-market-model-and-harness-updates -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/night-market-model-and-harness-updates, .gemini/skills/night-market-model-and-harness-updates, .github/skills/night-market-model-and-harness-updates and .opencode/skills/night-market-model-and-harness-updates in your project.

What does Night Market Model And Harness Updates need to run?

Going by SKILL.md and its folder, Night Market Model And Harness Updates needs the command-line tools its instructions call (python3, claude and uv). Our summary lists: Python 3.

Does Night Market Model And Harness Updates access the network?

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

Is Night Market Model And Harness Updates 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 Night Market Model And Harness Updates use?

Night Market Model And Harness Updates 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 Night Market Model And Harness Updates use?

About 1.2k tokens (SKILL.md is roughly 4.6k 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 Night Market Model And Harness Updates?

Skills that share tags, products or a category with Night Market Model And Harness Updates: Openclaw Update (openclaw/openclaw, 392k stars), Update Docs (vercel/next.js, 143k stars), UI Update (sickn33/agentic-awesome-skills, 47k stars) and Update Team Server (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Night Market Model And Harness Updates?

athola (a GitHub user) maintains it in athola/claude-night-market, which has 341 GitHub stars. The repository holds 152 skills in this directory. The repository was last updated on October 9, 2026.

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