Borrowing it
Nothing to install: this file belongs to jonathanmalkin/jules. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jonathanmalkin/jules/main/.claude/skills/watch-contacts/SKILL.mdgit clone --depth 1 https://github.com/jonathanmalkin/julesWrote 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/jonathanmalkin/jules/watch-contacts)<a href="https://agentmods.dev/skills/jonathanmalkin/jules/watch-contacts"><img src="https://agentmods.dev/badge/skills/jonathanmalkin/jules/watch-contacts/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/jonathanmalkin/jules/watch-contacts"><img src="https://agentmods.dev/badge/skills/jonathanmalkin/jules/watch-contacts.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00025 | $0.01762 |
| Opus 5.5 | $0.00010 | $0.00705 |
| Sonnet 5.5 | $0.00005 | $0.00352 |
| Haiku 4.5 | $0.00003 | $0.00176 |
Grade A, and why
watch-contacts 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 2mo 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Watch Contacts
Monitor X/Twitter activity from contacts in the network. Surface posts worth engaging with, batch reply decisions via AskUserQuestion.
Step 1: Load Contacts
Read Profiles/Contacts.md. Extract X/Twitter handles from ALL sections:
- "Active — Following Up" table (personal contacts)
- "X Watch List" tables (public figures, product leaders)
For each handle, also check the Filter column. If a filter string exists, that handle requires keyword-filtered search (see Step 2).
Build a handle list. Skip contacts with no X handle. Report how many handles found.
If no handles found, say so and stop.
Step 1.5: Determine Floor Timestamp (Dedup Across Runs)
Before searching contacts, check whether this skill already ran earlier today:
xurl search "from:[your-handle]" -n 20
Look at the reply timestamps. If there's a cluster of replies today (indicating an earlier watch-contacts session or manual engagement), use the end of the most recent cluster as the floor timestamp. Only surface tweets posted AFTER this floor.
- If no earlier activity today → floor = 24 hours ago (default behavior).
- If earlier cluster found → floor = timestamp of last reply in that cluster.
- Report: "Last engagement session ended ~Xh ago. Filtering to tweets posted after [time]."
If the floor is very recent (< 2 hours ago), warn: "Ran recently — there may be few new posts." and proceed anyway.
Step 2: Search Recent Posts
For each handle, search for the 3 most recent tweets:
# Standard (no filter):
xurl search "from:{handle}" -n 10
# Filtered (high-volume posters — use separate queries, not OR):
xurl search "from:{handle} claude" -n 10
xurl search "from:{handle} openclaw" -n 10
xurl search "from:{handle} agent" -n 10
# Deduplicate by tweet ID across filter queries.
Filter syntax note: The X search API does not scope OR to the from: clause. from:X foo OR bar returns (from:X foo) OR (bar globally). For filtered handles, run one search per keyword and deduplicate results by tweet ID.
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.
- 2mo ago First seen · 167 lines · 25 tokens per session scan A 30ce30fa644d
watch-contacts is a skill published in the GitHub repository jonathanmalkin/jules (67 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 1,762 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
watch-contacts compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| watch-contactsjonathanmalkin/jules | Skill | 67 | 5mo ago | MIT | A | 25 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |