[REPLACE: SKILL_NAME]

[REPLACE: SKILL_NAME] is a skill for Claude Code, Codex from aeonfun/aeon. It costs 0 tokens per session (1,274 once invoked), scanned A, original, MIT.

A scheduled monitor for Vercel, a service that builds and hosts web applications, which checks recent deployments for selected alert conditions.

In plain words
What is it for?
Checking a Vercel project over a chosen time window and reporting deployments that match specified conditions.
Why use it?
It helps identify deployment events that need attention without stopping the workflow when access credentials are missing.

Skill for Claude CodeCodex

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

Good fit Checking a Vercel project over a chosen time window and reporting deployments that match specified conditions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aeonfun/aeon/deploy-watcher
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 aeonfun/aeon --skill deploy-watcher
Clone the repo
git clone --depth 1 https://github.com/aeonfun/aeon

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 [REPLACE: SKILL_NAME]

README.md
[![agentmods](https://agentmods.dev/badge/skills/aeonfun/aeon/deploy-watcher/github.svg)](https://agentmods.dev/skills/aeonfun/aeon/deploy-watcher)
Your own site
<a href="https://agentmods.dev/skills/aeonfun/aeon/deploy-watcher"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/deploy-watcher/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 [REPLACE: SKILL_NAME]

Your own site · 80×15
<a href="https://agentmods.dev/skills/aeonfun/aeon/deploy-watcher"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/deploy-watcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,274 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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: 2 findings, up to high

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 →

  • high Privilege Escalation · line 19
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Data Exfiltration · line 38
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 $0.00000 $0.01274
Opus 5.5 $0.00000 $0.00510
Sonnet 5.5 $0.00000 $0.00255
Haiku 4.5 $0.00000 $0.00127

Measured 1mo ago against content hash 77ba967c3239, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

[REPLACE: SKILL_NAME] scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sf -H "Authorization: Bearer $VERCEL_TOKEN" "$URL" > .vercel-deploys.json || \
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

docs/examples/skill-templates/deploy-watcher/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

${var} — Optional. Override the Vercel project slug. If empty, watches [REPLACE: VERCEL_PROJECT].

Today is ${today}. Watch Vercel deployments for [REPLACE: VERCEL_PROJECT] and alert on [REPLACE: ALERT_ON] within the last [REPLACE: LOOKBACK_HOURS] hours.

Required secrets

  • VERCEL_TOKEN — personal access token from https://vercel.com/account/tokens. Read scope is enough.
  • (optional) VERCEL_TEAM_ID — if the project lives under a team, set this so the API queries the right scope.

If either secret is missing, log DEPLOY_WATCH_NO_TOKEN and exit cleanly — never abort the workflow.

Steps

  1. Resolve scope:

    PROJECT="${var:-[REPLACE: VERCEL_PROJECT]}"
    SCOPE_QS=""
    if [ -n "${VERCEL_TEAM_ID:-}" ]; then
      SCOPE_QS="&teamId=$VERCEL_TEAM_ID"
    fi
    
  2. Fetch recent deploys — Vercel API v6 lists deployments for a project:

    SINCE_MS=$(( $(date -u +%s) * 1000 - [REPLACE: LOOKBACK_HOURS] * 3600 * 1000 ))
    URL="https://api.vercel.com/v6/deployments?projectId=$PROJECT&since=$SINCE_MS$SCOPE_QS&limit=20"
    curl -sf -H "Authorization: Bearer $VERCEL_TOKEN" "$URL" > .vercel-deploys.json || \
      echo "DEPLOY_WATCH_FETCH_FAIL: $?"
    

    Make every Vercel call in-run with ./secretcurl (write the key as {VERCEL_TOKEN} — a bare $VERCEL_TOKEN on the line is refused by the Bash permission layer). Read-only status checks and any irreversible action (e.g. triggering a deploy) both run in-run — the irreversible one as the skill's final, fail-closed action. Never defer a read.

  3. Parse and classify — for each deploy, capture: uid, state (READY / ERROR / CANCELED / BUILDING / QUEUED), url, target (production / preview), creator, createdAt, meta.githubCommitMessage.

  4. Apply the alert filter — [REPLACE: ALERT_ON] is one of:

    • production-failures → alert when target=production AND state in {ERROR, CANCELED}.
    • any-failures → alert on any state in {ERROR, CANCELED}.
    • slow-builds → alert when build time > 10× the last-week median for this project.
    • all → alert on every state transition (noisy — only useful while debugging the skill).

Read the full file on GitHub · 85 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 First seen · 85 lines · 0 tokens per session scan A 77ba967c3239

Subscribe to this mod's changes

[REPLACE: SKILL_NAME] is a skill published in the GitHub repository aeonfun/aeon (777 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,274 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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