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 skills add TanStack/intent --skill skill-staleness-checkgit clone --depth 1 https://github.com/TanStack/intentWrote 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.
[](https://agentmods.dev/skills/tanstack/intent/skill-staleness-check)<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.
<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>- NVIDIA SkillSpector warn
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
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.
| Model | Per session | Once 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 |
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.
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_versionin a skill's frontmatter vs the currently published version), classifiedmajor/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:
- Read the current SKILL.md content
- Fetch the file diff from the triggering commit in the source repo
- Classify the change:
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.
- 1mo ago Changed · -2 lines · -20 tokens per session c80acbaa0ca4
- 1mo ago Changed · -5 lines 9fda5b77672b
- 1mo ago First seen · 275 lines · 65 tokens per session scan A a67a0d32c849
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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