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 aeonfun/aeon --skill schedule-adsgit clone --depth 1 https://github.com/aeonfun/aeonWrote 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/aeonfun/aeon/schedule-ads)<a href="https://agentmods.dev/skills/aeonfun/aeon/schedule-ads"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/schedule-ads.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, 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 Data Exfiltration · line 128 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.
- medium Data Exfiltration · line 136 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.
- medium Data Exfiltration · line 335 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.
- medium Data Exfiltration · line 136 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.
- medium Data Exfiltration · line 334 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.
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 | $0.06697 |
| Opus 5 | $0.00023 | $0.03349 |
| Sonnet 5 | $0.00009 | $0.01339 |
| Haiku 4.5 | $0.00005 | $0.00670 |
Grade A, and why
schedule-ads 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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- schedule-ads — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 461 lines — stays where its author put it; the contents beside it link to each section on GitHub.
${var} selects the flow. Empty/unset = schedule (launch ads into existing ad sets).
create= create-campaign (provision Meta campaigns + ad sets). Both are config-driven, PAUSED-by-default, and make the AdManage API calls in-run via./secretcurl(the{ADMANAGE_API_KEY}placeholder keeps the key off the command line), behind fail-closed spend guardrails.
Reads a declarative config, computes what to do, and makes the AdManage.ai API calls in-run via ./secretcurl. The calls are an irreversible outbound side-effect (real ad spend), so they are each branch's final actions and run only behind the guardrails below (PAUSED-by-default, dailySpendCap circuit-breaker, dry-run). ADMANAGE_API_KEY is injected in-run via this skill's requires: — always write it as the {ADMANAGE_API_KEY} placeholder, never a bare $ADMANAGE_API_KEY (the Bash permission layer refuses that).
Preamble (both branches)
- Read
memory/MEMORY.mdfor context. Read the last ~3 days ofmemory/logs/for recent launch / provisioning activity — don't re-report a signal already logged. - Parse
${var}:- empty / unset → run the Schedule branch below.
create→ run the Create branch below.- anything else → log
SCHEDULE_ADS_UNKNOWN_SELECTOR: <value>and exit cleanly (no notify).
- Both branches spend real money on ad platforms. The shared safety posture (see each branch) is: PAUSED by default, config-only (never invent campaigns/creative/targeting), dry-run available, and exit silently when there's nothing to do.
Schedule branch (default — empty ${var})
Reads skills/schedule-ads/config.yaml, picks schedule entries matching today, and launches those ads in-run via AdManage.ai (POST /v1/launch through ./secretcurl), behind the spend guardrails below.
Safety defaults (schedule)
This branch spends real money on ad platforms. Guardrails, in priority order:
- PAUSED by default. Every launch request sets the entity to PAUSED. The operator has to resume manually in the AdManage dashboard before spend starts.
launchPaused: falsein config is the explicit opt-out. - Daily spend cap. Before launching, the branch checks
GET /v1/spend/dailyfor today. If spend ≥dailySpendCapin the config, all launches are skipped and a warning is notified. If the spend figure can't be verified (malformed / empty response), fail closed — skip and notify, don't launch. This is a circuit breaker, not a budget enforcer — platform budgets still apply. - Dry-run mode. If
DRY_RUN=truein env ordryRun: truein config, the branch builds the payloads, writes them to.pending-admanage/dryrun/, notifies what would launch, and exits without calling the API. - Config-only. The branch does not invent campaigns, creative, or targeting. If there's no schedule for today, it exits cleanly with no API calls.
- Single source of truth. All ads/campaigns/targeting live in
config.yaml. The branch never generates new creative on the fly.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 461 lines · 45 tokens per session scan A 6af5d2a9f4bc
schedule-ads is a skill published in the GitHub repository aeonfun/aeon (718 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 6,697 once invoked, about $0.0002 per session on Opus 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 2026-09-05.
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