Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Arch1eSUN/Arcgenticnpx agentmods add skills/arch1esun/arcgentic/using-arcgenticWrote 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/arch1esun/arcgentic/using-arcgentic)<a href="https://agentmods.dev/skills/arch1esun/arcgentic/using-arcgentic"><img src="https://agentmods.dev/badge/skills/arch1esun/arcgentic/using-arcgentic.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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 Agent Snooping · line 127 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 128 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 129 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00091 | $0.01380 |
| Opus 5 | $0.00046 | $0.00690 |
| Sonnet 5 | $0.00018 | $0.00276 |
| Haiku 4.5 | $0.00009 | $0.00138 |
Grade A, and why
using-arcgentic 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using arcgentic
Overview
arcgentic is an agentic harness for round-driven development. It turns the four-role engineering workflow into a mechanically-enforced state machine where every transition is gated, every artifact is structured, and every lesson is codified.
Announce at start: "I'm using the arcgentic:using-arcgentic skill to navigate the round workflow."
The Iron Rule
BEFORE ANY ACTION IN A ROUND-DRIVEN PROJECT:
1. Read .agentic-rounds/state.yaml (single source of truth)
2. Run scripts/state/pickup.sh — get your role + action
3. Load the role-specific skill if applicable
4. Then act
The Four Roles
| Role | When | Skill | State |
|---|---|---|---|
| planner | Round intake → handoff doc | arcgentic:plan-round |
intake, planning |
| developer | Handoff → commit chain | arcgentic:execute-round |
dev_in_progress, fix_in_progress |
| auditor | Commits → verdict | arcgentic:audit-round |
awaiting_audit, audit_in_progress |
| closeout | PASS verdict → anchored close | arcgentic:close-round |
passed |
| ref-tracker | Daily git fetch + categorize | arcgentic:track-refs |
(continuous) |
Each role has a dedicated skill. In multi-session mode, load only the skill for
the role named by state/pickup or by arcgentic session-mode prompt --role.
Two Operating Modes
Mode A — Single-session (orchestrator drives all)
Main session loads arcgentic:orchestrate-round. Acts as orchestrator. Dispatches sub-agents (orchestrator.md → auditor.md → ...) via Claude Code's Task tool when role-switching is needed. State machine advances after each sub-agent's structured output is verified.
Use when: independent developer / small project / no team coordination needed.
Mode B — Multi-session (humans coordinate)
Each role runs in its own Claude session. Each session loads only its role's skill. State.yaml is the inter-session protocol — every session starts by reading it.
Use when: team of humans / different humans want different role contexts / role-specific skill loading must not contaminate other role's contexts.
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 · 132 lines · 91 tokens per session scan A dadb03f85070
using-arcgentic is a skill published in the GitHub repository Arch1eSUN/Arcgentic (292 stars, last pushed 26d ago), licensed MIT. It adds 91 tokens to every session and 1,380 once invoked, about $0.0005 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.
Other skills, from other repositories
debt-ops-init
Write or refresh a "Tech debt operations" section in the project's AGENTS.md so the team shares one source of truth for debt-ops disciplines. Run ONLY when the user explicitly asks to set up, install, or initialize debt-ops disciplines — never auto-invoke. Idempotent; only the managed section changes, other sections…
debt-ops-add
Register a deferred decision in the tech-debt registry. Trigger by judgment, not a marker scan, whenever a future reader would ask "why this way?": an unmade decision, stub, loosened type, bypassed check, swallowed error, a default picked "for now", or a TODO/FIXME/HACK/XXX marker. Trigger immediately whenever you…
debt-ops-metrics
Print a debt-ops health summary from the metrics log, covering registration rate, feedback action rate, ADR creation, and AI-authored share. Use when the user asks for "debt-ops metrics", "debt health", "registry stats", or a tech-debt health summary. Read-only, never writes the log.
debt-ops-review
Audit the tech-debt registry, rank survivors by churn × Fowler quadrant, surface a top-N list, then walk paydown on user follow-up. Use when the user asks to review debt, see what to pay down, work through entries, or check the debt registry. Stale entries drop with "drop A,B,C".
repo-hygiene
Use when the scheduled repo-hygiene workflow runs from GitHub Actions (or an operator dry-run) to scan the repository for small, certain docs/test/code hygiene issues and fix them as one batched branch.
find-simplifications
Use for a periodic repo-wide sweep of qwen-code for accumulated excess surface — dead components and files, orphaned locale keys, exports nothing consumes, added-then-removed scaffolding — filing candidates on a tracking issue and landing only what a maintainer has said yes to. Repo-wide and evidence-first; every…