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 robertbarclayy/conducty --skill conducty-systemgit clone --depth 1 https://github.com/robertbarclayy/conductyWrote 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/robertbarclayy/conducty/conducty-system)<a href="https://agentmods.dev/skills/robertbarclayy/conducty/conducty-system"><img src="https://agentmods.dev/badge/skills/robertbarclayy/conducty/conducty-system.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
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 Excessive Agency · line 134 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00072 | $0.02572 |
| Opus 5 | $0.00036 | $0.01286 |
| Sonnet 5 | $0.00014 | $0.00514 |
| Haiku 4.5 | $0.00007 | $0.00257 |
Grade A, and why
conducty-system 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 8d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conducty — Systems-Level Agent Orchestration
Conducty is a per-plan orchestration system for AI agents. It does not tell agents HOW to write code — it orchestrates WHY work succeeds or fails at scale, then improves the system at the end of every plan.
What Conducty is not: A collection of isolated technique skills. If you want "how to debug" or "how to TDD" as standalone recipes, those exist elsewhere. Conducty's skills are phases of a single system — they reference each other, feed data forward, and form feedback loops.
The Conducty Cycle
Every day follows this cycle. You are always somewhere in it.
Shape → Plan → Trace → Execute → Verify → Improve
↑ |
└────────────── feedback ────────────────────┘
| Phase | Skill | What happens |
|---|---|---|
| Shape | [[conducty-shape]] | Turn unclear goals into bounded designs with appetite, scope, and no-go zones |
| Plan | [[conducty-plan]] | Decompose designs into prompts with time budgets, verification, and parallel groups |
| Trace | [[conducty-execute]] | Run the first prompt in each group as a tracer bullet to validate plan assumptions |
| Execute | [[conducty-execute]] | Dispatch remaining prompts with calibrated review (rigor scales with risk) |
| Verify | [[conducty-checkpoint]] | Gate between groups: health metrics, hill chart updates, systemic failure detection |
| Improve | [[conducty-improve]] | End-of-plan learning: what worked, what failed, what changes next |
Foundation skills:
- [[conducty-obsidian]] — Vault conventions; the context engine. Read before any state I/O.
- [[conducty-bootstrap]] — First-run walkthrough. Confirms vault, runs first context, produces a tiny throwaway first plan.
Supporting skills (used within the cycle, not phases themselves):
- [[conducty-verify]] — Evidence gate used by execute and checkpoint
- [[conducty-debug]] — Leverage-point analysis when prompts fail
- [[conducty-tdd]] — Test-driven discipline for orchestrator and implementer
- [[conducty-context]] — Project ingestion as a linked sub-graph (Architecture, Conventions, Invariants, Hotspots, Tests, Glossary, per-module deep notes)
- [[conducty-worktrees]] — Git isolation for parallel execution
- [[conducty-dialectic]] — Multi-persona decision analysis for architectural choices
- [[conducty-review]] — End-of-plan audit that feeds into improve
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.
- 8d ago First seen · 186 lines · 72 tokens per session scan A 462e8f205d26
conducty-system is a skill published in the GitHub repository robertbarclayy/conducty (176 stars, last pushed 2mo ago), licensed MIT. It adds 72 tokens to every session and 2,572 once invoked, about $0.0004 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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