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 agentmods add skills/spacedock-dev/spacedock/surveynpx skills add spacedock-dev/spacedock --skill surveygit clone --depth 1 https://github.com/spacedock-dev/spacedockWrote 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/spacedock-dev/spacedock/survey)<a href="https://agentmods.dev/skills/spacedock-dev/spacedock/survey"><img src="https://agentmods.dev/badge/skills/spacedock-dev/spacedock/survey.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 | $0.00120 | $0.09537 |
| Opus 5 | $0.00060 | $0.04769 |
| Sonnet 5 | $0.00024 | $0.01907 |
| Haiku 4.5 | $0.00012 | $0.00954 |
Grade F, and why
survey scanned grade F with 4 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
If it prints `AGENTSVIEW MISSING`: tell the user agentsview is needed (it ingests the agent logs this skill reads), **ask consent**, and only on a yes run the install (`brew install --cask agentsview`; fallback `curl -fs Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
- **superpowers** — `.claude/skills/superpowers` exists, `superpowers` appears in `.claude-plugin/`, or a superpowers discipline skill dir is present (`.claude/skills/{brainstorming,writing-plans,executing-plans,subagent Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf "$NARROW"; mkdir -p "$NARROW" Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
If it prints `AGENTSVIEW MISSING`: tell the user agentsview is needed (it ingests the agent logs this skill reads), **ask consent**, and only on a yes run the install (`brew install --cask agentsview`; fallback `curl -fs How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Survey a Project
Overview
Survey is the first thing you run on unfamiliar ground: it reconstructs what the AI agents in this project have implicitly been doing, from their session history. It reports the inferred workflow, the workstreams, the recent decisions, and — load-bearing — the OPEN decisions (the abandoned or unanswered forks) plus how often the human had to step in. Then it offers to commission a real spacedock workflow with explicit gates from what it found.
It reads agentsview's session DB and is strictly read-only — the recommended queries live in references/queries.sql (one labeled query per concern) so nothing is a black box. The decision and interruption signals below are Claude Code's; Codex is surfaced too, as its own body section (a workdir-attributed count + workstream clusters + activity), since Codex sessions land with no recorded cwd and need the exec_command.$.workdir signal to be scoped to this repo. Gemini and per-file Codex work-by-area remain deferred follow-ups. The report opens with plain value and concrete numbers from the user's own data, then demotes the mode/track vocabulary to a detail section below. The closing move is the discovery → commission bridge: the OPEN decisions become candidate gates, the workstreams become candidate entities, the inferred loop becomes the stage list — and the offer leads with plain value ("this helps you run the repetitive work and stop only at the calls you'd want to make"), keyed to each track's MODE (gate-and-drive for the manual-but-repetitive tracks, book-keeping for exploration and knowledge-work tracks).
Run the four steps in order: check agentsview → scan → recognize scaffold → report and offer.
1. Check agentsview, then sync THIS project only (scoped)
This skill may run in a sandboxed agent that cannot read ~/.agentsview/ directly (macOS TCC denies raw FS access to a limited-permission process, even though the agentsview binary itself reads it). So do NOT sqlite3 ~/.agentsview/sessions.db blindly. Instead, drive the read through the agentsview binary into a process-readable data directory under AGENTSVIEW_DATA_DIR, then query that copy.
What ships with it
1 file 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.
- 3d ago First seen · 299 lines · 120 tokens per session scan F b0bc20cd66a9
survey is a skill published in the GitHub repository spacedock-dev/spacedock (76 stars, last pushed 4d ago), licensed Apache-2.0. It adds 120 tokens to every session and 9,537 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it F with 4 findings (downloads and executes remote code, enumerates other installed skills, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
fleet
Parallel campaign orchestrator. Runs multiple campaigns in coordinated waves within a single session. Spawns 2-3 agents per wave in isolated worktrees, collects discoveries, shares context between waves. Use when work decomposes into 3+ independent streams that can run simultaneously.
archon
Autonomous multi-session campaign agent. Decomposes large work into phases, delegates to sub-agents, reviews output, and maintains campaign state across context windows. Use for work that spans multiple sessions and needs persistent state, quality judgment, and strategic decomposition.
setup
First-run experience for the harness. Three modes: Recommended (guided, 3 min), Full Tour (guided + skill walkthrough, 8 min), and Express (zero questions, 30 sec). Installs hooks first, detects stack, configures harness.json, runs a live demo on real code, and prints a reference card.
daemon
Continuous autonomous operation mode. Keeps campaigns running 24/7 by chaining Claude Code sessions via RemoteTrigger. Each session picks up from the campaign's continuation state, works until context runs low or the phase completes, then schedules the next session. Auto-stops on campaign completion or budget…
dashboard
Real-time harness observability dashboard. Reads campaigns, fleet sessions, telemetry, and pending queues to present a snapshot of harness state at a glance. Invoked by /dashboard, /do status, or phrases like "what's happening" and "show activity".
evolve
Research-driven multi-cycle improvement director. Forms causal hypotheses about why scores are low, validates them with scout agents before attacking, dispatches axis-parallel fleet attacks, extracts transferable patterns, and runs indefinitely within a budget envelope. Accumulates a persistent belief model and…