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 tweet-digestgit 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/tweet-digest)<a href="https://agentmods.dev/skills/aaronjmars/aeon-agent/tweet-digest"><img src="https://agentmods.dev/badge/skills/aaronjmars/aeon-agent/tweet-digest/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/aaronjmars/aeon-agent/tweet-digest"><img src="https://agentmods.dev/badge/skills/aaronjmars/aeon-agent/tweet-digest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 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 56 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 56 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 | $0.00032 | $0.01819 |
| Opus 5 | $0.00016 | $0.00910 |
| Sonnet 5 | $0.00006 | $0.00364 |
| Haiku 4.5 | $0.00003 | $0.00182 |
Grade A, and why
Tweet Digest 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 2d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
${var} — Optional. If set, restrict to that single account (or topic filter). If empty, processes every account in
memory/topics/tracked-accounts.yml.
This skill is the account-based sibling in the tweet-fetcher family:
| Skill | Axis | Input |
|---|---|---|
fetch-tweets |
keyword / query | ${var} is the search query |
tweet-roundup |
topic | groups recent tweets by topic |
tweet-digest (this) |
account | reads a list of handles from memory/topics/tracked-accounts.yml |
Use this skill when you care about "what did these specific people post" rather than "what's anyone saying about X."
Voice
If soul/SOUL.md and soul/STYLE.md are populated, read both and match the operator's voice for the per-tweet one-sentence takes. If they are empty templates or absent, write the takes in a clear, direct, neutral tone — no hedging, no editorializing beyond what the tweet itself says.
Config
Reads memory/topics/tracked-accounts.yml. If the file is missing or accounts: [], log TWEET_DIGEST_NO_CONFIG and exit (no notification).
# memory/topics/tracked-accounts.yml
accounts:
- handle: vitalikbuterin
why: ethereum core thinking
- handle: balajis
why: macro + tech narratives
- handle: <handle>
why: <one-line reason — used to give the digest grouping context>
The why field is optional but useful — it's the grouping/context label in step 2.
Steps
Read memory/MEMORY.md for context and the last 2 days of memory/logs/ to dedup recent tweets.
1. Fetch recent tweets per account
For each handle in the config (or just the one from ${var} if set):
Path A - twitterapi.io (primary). /user/last_tweets returns structured tweet objects (exact engagement counts, real permalinks, parsed fields) in ~700ms - no fabrication risk. It has no server-side date filter, so keep the last 3 days client-side on .createdAt. Auth via ./secretcurl with the literal {TWITTER_API_KEY} placeholder (never $TWITTER_API_KEY; see CLAUDE.md -> Network & Secrets):
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.
- 2d ago Changed · +19 lines 2f4759545ed6
- 7d ago First seen · 101 lines · 32 tokens per session scan A 6d3d9351a37c
Tweet Digest is a skill published in the GitHub repository aaronjmars/aeon-agent (11 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 1,819 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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