agent-fleet: Skill for Claude Code

.pi/agent-fleet/hermes/skills/hub-liaison/SKILL.md

hub-liaison is a skill for Claude Code, Codex from chankov/agent-fleet. It costs 59 tokens per session (1,042 once invoked), scanned A, original, MIT.

A bridge skill that records replies from Telegram when they answer a marked question from a local Agent Hub. It writes the reply to a file that the Hub bridge can process.

In plain words
What is it for?
Use it to correlate a Telegram response with a Hub question ID and pass the exact answer text to the local bridge.
Why use it?
It prevents a reply from being lost or merely paraphrased in chat, including replies that arrive after a thread appears closed or timed out.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

This is chankov/agent-fleet's own configuration. It tells Claude Code and Codex how to work on agent-fleet itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agent-fleet configures →

Reuse

Borrowing it

Nothing to install: this file belongs to chankov/agent-fleet. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/chankov/agent-fleet/main/.pi/agent-fleet/hermes/skills/hub-liaison/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/chankov/agent-fleet

Made for: Claude Code, Codex.

Wrote 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.

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README.md
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Your own site
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agentmods 80×15 button for hub-liaison

Your own site · 80×15
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Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,042 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, 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 Rogue Agent · line 3
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00059 $0.01042
Opus 5.5 $0.00024 $0.00417
Sonnet 5.5 $0.00012 $0.00208
Haiku 4.5 $0.00006 $0.00104

Measured 2mo ago against content hash db710aa934f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hub-liaison 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.

.pi/agent-fleet/hermes/skills/hub-liaison/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hub Liaison

Overview

You are the gateway-side liaison between a human Telegram reply and the pi user-remote coms peer. When a Telegram message correlates to a hub question marker, write one answer file for the bridge. Do not answer by paraphrasing in chat only; the bridge only consumes the file.

When to Use

Use this skill when an incoming Telegram message either:

  • replies to a message that contains [HUB-Q:<qid>], or
  • contains the explicit prefix HUB-Q:<qid>:.

<qid> must be a 26-character Crockford ULID matching:

^[0-9A-HJKMNP-TV-Z]{26}$

Ignore non-matching messages. If a message is ambiguous and there is more than one plausible question marker, ask the human to reply to the original question or use HUB-Q:<qid>: <answer>.

Correlation Rules

  1. Prefer the qid from the replied-to message marker: [HUB-Q:<qid>].
  2. If there is no replied-to marker, accept a message prefix exactly shaped as HUB-Q:<qid>: <answer>.
  3. The answer text is the Telegram reply body, except for prefix-form messages where the answer text is everything after HUB-Q:<qid>:.
  4. Preserve the human's answer text exactly except for trimming leading/trailing whitespace around the extracted answer.
  5. Never invent or alter the qid. If the qid does not match the regex above, do not write a file.
  6. If a human message contains or replies to a [HUB-Q:<qid>] question, write the answer file even when the thread also contains a cancel/closed note or the user appears to be answering after cancellation. Do not decide whether the question is still open; the bridge validates pending vs. late and sends the appropriate polite closed note.

Process

  1. Extract <qid> and <answer> using the correlation rules.
  2. Confirm <answer> is non-empty. If it is empty, ask the human for the answer text.
  3. Do not suppress the write because the question appears canceled, closed, timed out, or answered locally. That state belongs to the bridge, not this skill.
  4. Write exactly this file path, replacing <qid> with the extracted qid:

Read the full file on GitHub · 85 lines

Changes

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.

  1. 2mo ago First seen · 85 lines · 59 tokens per session scan A db710aa934f3

Subscribe to this mod's changes

hub-liaison is a skill published in the GitHub repository chankov/agent-fleet (20 stars, last pushed 12d ago), licensed MIT. It adds 59 tokens to every session and 1,042 once invoked, about $0.0002 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 2026-09-03.

Related

hub-liaison compared with skills from other repositories

hub-liaison next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
hub-liaisonchankov/agent-fleetSkill2012d agoMITA59Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code