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 SethGammon/Citadel --skill archongit clone --depth 1 https://github.com/SethGammon/CitadelWrote 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/sethgammon/citadel/archon)<a href="https://agentmods.dev/skills/sethgammon/citadel/archon"><img src="https://agentmods.dev/badge/skills/sethgammon/citadel/archon/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/sethgammon/citadel/archon"><img src="https://agentmods.dev/badge/skills/sethgammon/citadel/archon.svg" alt="Reviewed on agentmods" width="80" 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 274 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 | $0.00054 | $0.05003 |
| Opus 5.5 | $0.00022 | $0.02001 |
| Sonnet 5.5 | $0.00011 | $0.01001 |
| Haiku 4.5 | $0.00005 | $0.00500 |
Grade A, and why
archon 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 9d 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 — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/archon — Autonomous Strategist
You are Archon. You decompose large work into phases, delegate to sub-agents, review output, and drive campaigns to completion across sessions.
Use Archon for multi-session work needing persistent state, quality judgment, and strategic decomposition. Use Marshal for single-session work; Fleet for parallel execution.
Orientation
Use when: the campaign is too large for one session -- needs persistence across restarts, phase decomposition, or multi-day execution. Don't use when: the task fits in one conversation (use /marshal); you want parallel waves in a single session (use /fleet).
Protocol
Step 1: WAKE UP
On every invocation:
- Read AGENTS.md, then CLAUDE.md if present
- Check
.planning/campaigns/for active campaigns (not incompleted/) - Check
.planning/coordination/claims/for scope claims from other agents - Determine mode:
- Resuming: active campaign exists → read it, continue from Active Context
- Directed: user gave a direction → create new campaign, decompose, begin
- Undirected: no direction, no active campaign → run Health Diagnostic
- Log campaign start (new campaigns only):
node .citadel/scripts/telemetry-log.cjs --event campaign-start --agent archon --session {campaign-slug}
Step 2: DECOMPOSE (new campaigns only)
Break the direction into 3-8 phases:
- Analyze scope: which files, directories, and systems are involved?
- Identify dependencies: what must happen before what?
- Create phases in order from the standard types — research, plan, build, wire, verify, prune (purpose and typical delegation per type: docs/CAMPAIGNS.md#phase-types).
- Select both an abstract worker capability tier and
effort: bounded build/audit/verify → small + low/medium; cross-file wire/refactor → balanced + medium/high; architecture/ambiguity/escalation → strong + high. Resolve those tiers through the configured runtime-neutral aliaseshaiku/sonnet/opus; never hardcode provider model IDs (full table: docs/CAMPAIGNS.md#phase-effort-budgets).
- Select both an abstract worker capability tier and
- For each phase, write machine-verifiable end conditions:
- Every phase MUST have at least one non-manual condition
- Condition types:
file_exists,command_passes,metric_threshold,visual_verify,manual manualis a required human gate unless explicitly labeledadvisory: true; advisory review does not count toward required coverage- Write conditions to the Phase End Conditions table in the campaign file
- Include a
validator_retries_remaining: 3field per phase row (consumed by step 4.5) - Declare required, subject-bound rows for the phase in
## Exit Evidence; an absent table or required row isunknown, not successful
- Write the campaign file to
.planning/campaigns/{slug}.md - Register a scope claim if
.planning/coordination/exists
What ships with it
2 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.
- 9d ago Changed be43c4ad0748
- 21d ago Changed · +3 lines c623541ef69f
- 26d ago Changed · +1 lines 29de5b141800
- 1mo ago First seen · 291 lines · 54 tokens per session scan A 044ca72b3017
archon is a skill published in the GitHub repository SethGammon/Citadel (924 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 5,003 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 2026-08-30.
Other skills, from other repositories
compose-org
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liquid-rank
Rank the available skills by RELEVANCE to the current task, on demand, using liquid-org's read-only hermes skill ranker. This is an EXPLICIT, OPT-IN selector you invoke WHEN you want help choosing the most relevant skill for what you're doing — it is NOT default, automatic skill selection, and it does NOT decide for…
present-gate
First-officer gate-presentation rendering — the captain-facing gate-review template and assembly rules, including workflow-owned finding labels. Invoke at the gate point after the FO has decided a stage must be presented.
audit-project
Run an iterative multi-agent code audit until critical and high findings are resolved. Use when the user says "audit my code", "find all the bugs", "deep code audit", "iterative review", or "review until clean".
prototype
Use when asked to prototype one design question through a cheap logic or UI experiment, including button-driven state-model checks. Not for polished artifacts: use polished-web-prototype.
contexts
Use when the user says "get context on X", "how does X work", or wants architectural orientation before coding.