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 write-tweetgit 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/write-tweet)<a href="https://agentmods.dev/skills/aeonfun/aeon/write-tweet"><img src="https://agentmods.dev/badge/skills/aeonfun/aeon/write-tweet.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 9 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 Prompt Injection · line 380 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium Data Exfiltration · line 83 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 83 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 434 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 446 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 627 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 635 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 434 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 631 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 | $0.00041 | $0.09510 |
| Opus 5 | $0.00020 | $0.04755 |
| Sonnet 5 | $0.00008 | $0.01902 |
| Haiku 4.5 | $0.00004 | $0.00951 |
Grade C, and why
write-tweet scanned grade C with 2 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- autoresearch: variation B — sharper output via remixability pre-filter, strategy-rotation, skip-gate for un-remixable originals, post-write self-edit; folded in A's multi-angle queries + engagement counts and C's so Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
If `XAI_API_KEY` is set, search X for what people are already saying about the topic. A direct `curl` to the X.AI Responses API is the **primary** path for this X read (see **Fetching**; set the Bash tool `timeout` ≥1800 Copies of this mod
1 near-identical copy found in the catalogue:
- write-tweet — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 643 lines — stays where its author put it; the contents beside it link to each section on GitHub.
${var} —
[format] [argument]. Pick one of three formats, then pass its argument. Empty ⇒ drafts (standalone tweet drafts).thread …⇒ a multi-tweet thread.remix …⇒ remix of your past tweets.revise:<instruction>⇒ revise the last saved draft (the Telegram force-reply shape, e.g.revise:make it punchier). See Selector below.
Read memory/MEMORY.md for context on recent articles, digests, topics being tracked, and the operator's tracked handles/token. Each branch then reads its own memory/logs/ window (drafts: 3 days, thread: 7 days, remix: 14 days) — see the branch.
Selector
Revise intercept first (Telegram force-reply). If ${var} starts with revise: → jump straight to Branch: REVISE (below) and stop; do not token-parse. This is the shape scripts/telegram-route.sh sends when the operator replies to a "refine this draft?" prompt — the revise: prefix would otherwise fall through to the drafts branch.
Otherwise, parse ${var} once, before doing anything else:
- Trim whitespace. Take the first token (everything up to the first space or the first
:), lowercased. - If that token is one of
drafts,thread,remix→ that's the format. The argument is the remainder of${var}after stripping the keyword and one optional following:and surrounding whitespace. - Otherwise → format is drafts and the argument is the entire
${var}(backward-compatible with the legacyvar = topic/URLbehaviour).
${var} |
Format | Argument | Behaviour |
|---|---|---|---|
| `` (empty) | drafts | — | Auto-select the most tweetable insight from today's logs |
prediction markets are broken |
drafts | prediction markets are broken |
Drafts on that topic |
https://arxiv.org/abs/2401.00001 |
drafts | that URL | Drafts about the linked source |
drafts: thread models are underrated |
drafts | thread models are underrated |
Escape hatch: force drafts on a topic that starts with a reserved word |
thread |
thread | — | Auto-pick the day's highest-signal event and thread it |
thread oracle incentives are broken |
thread | oracle incentives are broken |
Thread on that topic |
remix |
remix | — | Remix past tweets, default 180d window |
remix 1y |
remix | 1y |
Remix, 1-year window |
remix 2025-01-01:2025-03-01 |
remix | 2025-01-01:2025-03-01 |
Remix, explicit date range |
Then dispatch to the matching branch below. Only run the selected branch.
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 · 643 lines · 41 tokens per session scan C 308e7ee0a21d
write-tweet is a skill published in the GitHub repository aeonfun/aeon (716 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 9,510 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (hidden instructions, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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