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 aaronjmars/aeon-agent --skill reply-makergit clone --depth 1 https://github.com/aaronjmars/aeon-agentWrote 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/aaronjmars/aeon-agent/reply-maker)<a href="https://agentmods.dev/skills/aaronjmars/aeon-agent/reply-maker"><img src="https://agentmods.dev/badge/skills/aaronjmars/aeon-agent/reply-maker.svg" alt="Measured on agentmods" height="20"></a>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 | $0.06452 |
| Opus 5 | $0.00023 | $0.03226 |
| Sonnet 5 | $0.00009 | $0.01290 |
| Haiku 4.5 | $0.00005 | $0.00645 |
Grade C, and why
reply-maker 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 specificity gates, anti-sycophancy lint, post-write self-edit, and skip-gate for low-leverage tweets --> Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Path A — X.AI API (primary).** `XAI_API_KEY` is injected into this skill's environment (declared in `requires:`), so the direct `curl` to `https://api.x.ai/v1/responses` is the primary fetch path (full contract in **Fe This is a copy
100% identical to reply-maker — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.
${var} — selects the mode and scope:
- empty → Mode A (Reply Drafting): auto-discover reply-worthy tweets across your areas of interest (from recent logs + memory) and draft two reply options for each.
@handle/ numeric X list ID / topic → Mode A (Reply Drafting) scoped to that handle, list, or topic.from-logs(or--from-logs, optionally followed by an@handleor project name to narrow the scan) → Mode B (From-Logs Engagement): scan recent logs for flagged engagement opportunities and turn them into copy-paste-ready responses.revise:<instruction>→ Revise branch: reload the last drafted replies and refine them per the instruction (the Telegram force-reply shape, e.g.revise:make them shorter).
Preamble (both modes)
Read memory/MEMORY.md for context on active projects and open engagement follow-ups.
Then read memory/logs/ — the window depends on the mode:
- Mode A: the last 2 days of
memory/logs/for recentlist-digest,tweet-roundup, and priorreply-makeroutputs (used as a candidate pool and for reply de-duplication). - Mode B: the last 7 days of
memory/logs/for engagement opportunities flagged by other skills (project-pulse,refresh-x,reply-maker,channel-recap) or noted in MEMORY.md "Known Follow-ups".
Parse ${var} to pick the branch (trim whitespace, compare case-insensitively):
- If
${var}starts withrevise:— run the Revise branch (below) and stop. This is the shapescripts/telegram-route.shsends when the operator replies to a "refine these replies?" force-reply prompt; catch it before mode parsing. - If
${var}isfrom-logsor--from-logs— optionally followed by a whitespace-separated@handleor project name — run Mode B (From-Logs Engagement). Treat any trailing token as an optional filter that narrows the opportunity scan to that handle/project. - Otherwise run Mode A (Reply Drafting), treating
${var}as the scope: empty,@handle, numeric X list ID, or a topic string.
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 · 374 lines · 45 tokens per session scan C e5e47f590f2a
reply-maker is a skill published in the GitHub repository aaronjmars/aeon-agent (11 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 6,452 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). It is 100% identical to reply-maker, differing in 0 lines, and is treated as a copy.
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