skill-staleness-check

skill-staleness-check is a skill for Claude Code, Codex from TanStack/intent. It costs 45 tokens per session (2,135 once invoked), scanned A, original, MIT.

An automated check for finding intent skills that may no longer match changed source files in upstream TanStack package repositories.

In plain words
What is it for?
Use it after an upstream merge to match changed files to affected skills, assess whether their behavior descriptions are stale, update them, check references, and open pull requests when needed.
Why use it?
It helps keep documented coding guidance aligned with changes in the software it describes, avoiding outdated instructions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it after an upstream merge to match changed files to affected skills, assess whether their behavior descriptions are stale, update them, check references, and open pull requests when needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tanstack/intent/skill-staleness-check
Install

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.

Any agent
npx skills add TanStack/intent --skill skill-staleness-check
Clone the repo
git clone --depth 1 https://github.com/TanStack/intent

Made for: Claude Code, Codex.

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.

agentmods badge for skill-staleness-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/tanstack/intent/skill-staleness-check/github.svg)](https://agentmods.dev/skills/tanstack/intent/skill-staleness-check)
Your own site
<a href="https://agentmods.dev/skills/tanstack/intent/skill-staleness-check"><img src="https://agentmods.dev/badge/skills/tanstack/intent/skill-staleness-check/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.

agentmods 80×15 button for skill-staleness-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/tanstack/intent/skill-staleness-check"><img src="https://agentmods.dev/badge/skills/tanstack/intent/skill-staleness-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,135 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Prompt Injection · line 89
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.02135
Opus 5.5 $0.00018 $0.00854
Sonnet 5.5 $0.00009 $0.00427
Haiku 4.5 $0.00005 $0.00214

Measured 1mo ago against content hash c80acbaa0ca4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-staleness-check 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.

packages/intent/meta/skill-staleness-check/SKILL.md · 268 lines

How it starts

The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Staleness Check

You are a coding agent. Your job is to evaluate whether intent skills are stale after upstream source changes, and if so, update them and open PRs. You act autonomously end-to-end. PRs contain already-updated skill content, not suggestions.

If nothing needs updating, exit silently. No PR, no notification.


Inputs

Webhook payload from an upstream package repo merge to main:

{
  "package": "@tanstack/query",
  "sha": "abc123",
  "changed_files": ["docs/framework/react/guides/queries.md", "src/query.ts"]
}

Step 1 — Match changed files to skills

Read all SKILL.md files under packages/intent/skills/. For each skill, extract sources from the frontmatter.

Match changed_files from the webhook against sources entries across all skills. Source references use the format Owner/repo:relative-path and support glob patterns.

A skill is a candidate if any of its sources entries match a changed file.

If no skills match, exit silently.

Using intent stale

There is no separate sync script — intent stale [dir] [--json] is the real, existing staleness signal (see docs/cli/intent-stale.md). It is read-only: it reports drift, it does not write anything. For a given library:

intent stale packages/query --json

This reports:

  • Library version drift (library_version in a skill's frontmatter vs the currently published version), classified major/minor/patch.
  • Missing source SHAs recorded in that package's skills/sync-state.json (a conservative signal — it flags gaps in the stored SHA record, not actual remote content differences; see the doc's Notes section).

intent stale does not classify "needs regeneration" vs "version bump only" the way a dedicated sync tool might — that classification is this skill's own job, done in Step 2 below using the actual source diff, not intent stale's output alone.


Step 2 — Evaluate each candidate

For each matched skill:

  1. Read the current SKILL.md content
  2. Fetch the file diff from the triggering commit in the source repo
  3. Classify the change:

Read the full file on GitHub · 268 lines

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.

  1. 1mo ago Changed · -2 lines · -20 tokens per session c80acbaa0ca4
  2. 1mo ago Changed · -5 lines 9fda5b77672b
  3. 1mo ago First seen · 275 lines · 65 tokens per session scan A a67a0d32c849

Subscribe to this mod's changes

skill-staleness-check is a skill published in the GitHub repository TanStack/intent (355 stars, last pushed 7d ago), licensed MIT. It adds 45 tokens to every session and 2,135 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.

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