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 happyhappy-jun/writing-driven-autoresearch --skill herdrgit clone --depth 1 https://github.com/happyhappy-jun/writing-driven-autoresearchWrote 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/happyhappy-jun/writing-driven-autoresearch/herdr)<a href="https://agentmods.dev/skills/happyhappy-jun/writing-driven-autoresearch/herdr"><img src="https://agentmods.dev/badge/skills/happyhappy-jun/writing-driven-autoresearch/herdr/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/happyhappy-jun/writing-driven-autoresearch/herdr"><img src="https://agentmods.dev/badge/skills/happyhappy-jun/writing-driven-autoresearch/herdr.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 | $0.00208 | $0.04309 |
| Opus 5 | $0.00104 | $0.02155 |
| Sonnet 5 | $0.00042 | $0.00862 |
| Haiku 4.5 | $0.00021 | $0.00431 |
Grade A, and why
herdr 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 10d 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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
herdr — multi-agent terminal orchestration
herdr is an open-source terminal workspace manager for AI coding
agents (panes, tabs, named persistent sessions, agent detection, --remote ssh attach).
This skill adds the orchestration layer herdr does not ship natively. It supports two
topology shapes, which can coexist:
- Local-only — several agents in panes on one herdr server, no ssh. The skill can watch them, read their prompts, auto-judge (approve/deny/dismiss), and nudge a wedged agent — all without ssh.
- Remote-bridge — agents that run persistently on a remote host (over ssh) mirrored into your local agents tab; herdr has no cross-machine federation, so the skill bridges it with status mirroring + clean per-agent attach views.
On top of either shape: topology discovery, idempotent revival, and policy-driven permission and idle handling.
Everything is driven by a bundled tool: python3 ${CLAUDE_SKILL_DIR}/scripts/herdr_sync.py <cmd>.
It is config-driven, not hardcoded — the topology lives in ~/.config/herdr-mgr/topology.json
(override the dir with $HERDR_MGR_HOME). Run herdr_sync.py schema to see the format.
Core abilities
- Bootstrap — ensure
herdris installed and the agent integration is active. - Topology discovery & memory — detect the live topology and persist it (to the config file and your memory) so later sessions don't re-derive it.
- Pane / layout management — build and idempotently revive the workspace, panes, labels, and splits after a restart.
- Cross-server wiring (the non-native core, remote only) — mirror remote agents' status into local panes and keep clean per-agent attach views alive over ssh.
- Inter-agent communication — relay text/commands between agents and panes.
- Liveness & permission monitoring — surface agents that newly block or stall (local and remote alike), scoped to configured agents.
- Policy-driven auto-judgment & nudging — approve/deny/dismiss blocked agents' permission prompts against a user policy; prod idle/wedged agents; escalate the rest.
- Lifecycle — start/resume agents; provision allowlistable scripts; install/remove the self-healing mirror daemon (remote only).
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 267 lines · 208 tokens per session scan A 0be0e3db6773
herdr is a skill published in the GitHub repository happyhappy-jun/writing-driven-autoresearch (21 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 208 tokens to every session and 4,309 once invoked, about $0.0010 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 2026-08-30.
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