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 anyaa-labs/agent-skills --skill agent-architectgit clone --depth 1 https://github.com/anyaa-labs/agent-skillsWrote 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/anyaa-labs/agent-skills/agent-architect)<a href="https://agentmods.dev/skills/anyaa-labs/agent-skills/agent-architect"><img src="https://agentmods.dev/badge/skills/anyaa-labs/agent-skills/agent-architect/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/anyaa-labs/agent-skills/agent-architect"><img src="https://agentmods.dev/badge/skills/anyaa-labs/agent-skills/agent-architect.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 | $0.00349 | $0.21209 |
| Opus 5 | $0.00175 | $0.10605 |
| Sonnet 5 | $0.00070 | $0.04242 |
| Haiku 4.5 | $0.00035 | $0.02121 |
Grade A, and why
agent-architect scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Subtle steeringlowPrompt injection
Instructions that bias recommendations or shape behaviour without the user noticing.
Word the question to match which case actually applies. Never tell the user you have no profile for a model whose profile you are holding. Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 1,052 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble: Update Check
On every invocation, before doing anything else, silently run this command:
SKILL_LINK=""
for candidate in "$HOME/.claude/skills/agent-architect" "$HOME/.agents/skills/agent-architect"; do
[ -e "$candidate" ] || continue
SKILL_LINK="$candidate"
break
done
[ -n "$SKILL_LINK" ] && bash "$(dirname "$(readlink "$SKILL_LINK")")/bin/update-check" 2>/dev/null || true
Interpret the output:
-
If the output contains
UPDATE_AVAILABLE: ParseLOCAL_VERSION,REMOTE_VERSION, and theCHANGELOG_DIFFsection from the output. Then:- Tell the user a new version is available, showing the version numbers.
- Summarize the changelog entries as 3-5 user-facing bullets highlighting new capabilities, improvements, and fixes. Focus on value, not internal details.
- Ask the user: "Would you like to update now?" (use AskUserQuestion).
- If the user approves: Re-resolve
SKILL_LINKusing the command above, then runbash "$(dirname "$(readlink "$SKILL_LINK")")/bin/do-upgrade". If output containsUPGRADE_SUCCESS, confirm the new version and continue with the user's original request. IfUPGRADE_FAILED, tell the user the auto-upgrade failed and suggest they rungit pullmanually in the repo directory (shown in the update-check output asREPO_DIR), then proceed with the current version. - If the user declines: Proceed immediately with the current version. Do not mention the update again for the rest of this session.
-
If no output or the command fails: Proceed silently. Never mention the update check to the user.
Platform Tool Mapping
This skill names Claude Code tools because that is the authoring convention. In Codex, use the platform equivalent:
Read,Grep,Glob-> native file and shell tools (typicallyexec_commandwithrg)Bash->exec_commandAgent->spawn_agent,wait_agent,close_agentAskUserQuestion-> ask the user directly, orrequest_user_inputwhen it is availableWebSearch-> Codex web search tools
What ships with it
40 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.
- checklists/agent-identity.md 19 KB
- checklists/context-management.md 11 KB
- checklists/eval-infrastructure.md 18 KB
- checklists/harness-architecture.md 19 KB
- checklists/memory-architecture.md 21 KB
- checklists/model-awareness.md 13 KB
- checklists/multi-agent.md 18 KB
- checklists/multimodal-architecture.md 6.4 KB
- checklists/production-readiness.md 8.8 KB
- checklists/prompt-architecture.md 5.3 KB
- checklists/security.md 28 KB
- checklists/sovereignty-residency.md 11 KB
- checklists/tool-design.md 12 KB
- model-profiles.md 11 KB
- model-profiles/ai2-olmo.md 15 KB
- model-profiles/ai21.md 17 KB
- model-profiles/amazon-nova.md 22 KB
- model-profiles/anthropic.md 22 KB
- model-profiles/cohere.md 11 KB
- model-profiles/deepseek.md 11 KB
- model-profiles/falcon.md 8.6 KB
- model-profiles/google.md 19 KB
- model-profiles/ibm-granite.md 8.7 KB
- model-profiles/meta.md 8.1 KB
- model-profiles/minimax.md 17 KB
- model-profiles/mistral.md 9.6 KB
- model-profiles/moonshot.md 15 KB
- model-profiles/nvidia-nemotron.md 18 KB
- model-profiles/openai.md 22 KB
- model-profiles/qwen.md 13 KB
- model-profiles/regional-other.md 30 KB
- model-profiles/sarvam.md 9.3 KB
- model-profiles/xai.md 23 KB
- model-profiles/zhipu.md 15 KB
- references/agent-engineering-landscape-2026-09.md 154 KB
- references/harness-engineering.md 3.2 KB
- references/memory-systems.md 32 KB
- references/model-landscape-2026-09.md 261 KB
- references/model-runtime-contracts.md 12 KB
- references/multimodal-agents.md 6.5 KB
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.
- today Changed · +102 lines · +38 tokens per session 195f91bc82e8
- 9d ago First seen · 950 lines · 311 tokens per session scan A 82fa8fa7d59b
agent-architect is a skill published in the GitHub repository anyaa-labs/agent-skills (2 stars, last pushed yesterday), licensed MIT. It adds 349 tokens to every session and 21,209 once invoked, about $0.0017 per session on Opus 5. A static security scan graded it A with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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