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 Koredotcom/agents-mcp-tools --skill arch-release-checkgit clone --depth 1 https://github.com/Koredotcom/agents-mcp-toolsWrote 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/koredotcom/agents-mcp-tools/arch-release-check)<a href="https://agentmods.dev/skills/koredotcom/agents-mcp-tools/arch-release-check"><img src="https://agentmods.dev/badge/skills/koredotcom/agents-mcp-tools/arch-release-check/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/koredotcom/agents-mcp-tools/arch-release-check"><img src="https://agentmods.dev/badge/skills/koredotcom/agents-mcp-tools/arch-release-check.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 | $0.00082 | $0.01035 |
| Opus 5.5 | $0.00033 | $0.00414 |
| Sonnet 5.5 | $0.00016 | $0.00207 |
| Haiku 4.5 | $0.00008 | $0.00103 |
Grade A, and why
arch-release-check 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 1mo 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Release check
Steps
- Export and lint. Export the project with
platform_import_export, save the files to the project folder, then rundebug_lint_ablandplatform_validate_packageon the package. Every finding goes in the report; none are merged. - Eval compare. Run the eval set against the release target with
platform_eval_runs(targetset to thedev,stagingorproductionenvironment, a deployment, or the agent version you will ship) andcompareit with the last release's run. - Budget check. For the top intents, confirm model calls per turn and latency are within the experience contract, using sessions from the eval run.
- Context check. Read the full model requests of a 20-turn test conversation, from "Export
entire trace" on the session page (see
arch-context-budget), for growth, truncation markers and secrets. - Checklist. Walk the list below and mark each item pass, fail or not applicable with evidence.
Pre-ship checklist
- Lint and package validation are clean.
- Eval set ran on the release target and was compared with the last release; success held.
- Model calls per turn and latency are within the experience contract for the top intents.
- Every defect fixed since the last release has a scenario in the eval set.
- Each agent declares
BEHAVIOR: role:, or you have checked its## Current Contextin a trace; no{{context}}and no unfilled{{placeholder}}in a test trace. - No
config.*orenv.*in GOAL, PERSONA, LIMITATIONS, SYSTEM_PROMPT or RESPOND; credentials are in auth profiles; a trace search for secret values finds nothing. - Handoff
CONTEXT:keys are lowercase andhistoryuses a supported form; delegates get everything throughINPUTorPURPOSE. - Every tool with a large or nested result has
MODEL_CONTEXT, tested against real, empty and error responses; rich responses carry a responseMODEL_CONTEXT. - Sensitive GATHER fields are marked
SENSITIVE: truewith aSENSITIVE_DISPLAYmode (and aPII_TYPEso the project's rules for that type apply). - Every tool declares
effect; irreversible writes confirm and freeze key values; each tool the caller depends on has an authoredon_errormessage (seearch-tool-design). - Workflow tools set
modeandtimeout_msexplicitly, and the workflow version the release needs is activated (seearch-workflow-design). - Knowledge-base documents are indexed and
max_search_tokensis set on every knowledge-base tool (seearch-knowledge-search). -
INTENTSare declared with descriptions. - After an import: knowledge bases are populated, and model bindings, auth profiles and config variables are set.
- Final tests ran in a new conversation on the version that will be deployed.
- Voice: ASR and latency sets re-run if the provider, timeouts, profile or gather fields changed; runtime voice settings (fillers, VAD) re-checked after deploy; a fast-tier model is available.
- Speech-to-speech: the effective orchestration mode verified in traces; every tool exit path (success, error, timeout, empty) tested; the welcome is protected from barge-in.
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.
- 1mo ago First seen · 66 lines · 82 tokens per session scan A f77eda49937b
arch-release-check is a skill published in the GitHub repository Koredotcom/agents-mcp-tools (4 stars, last pushed 1mo ago), licensed MIT. It adds 82 tokens to every session and 1,035 once invoked, about $0.0003 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 2026-10-09.
arch-release-check compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| arch-release-checkKoredotcom/agents-mcp-tools | Skill | 4 | 1mo ago | MIT | A | 82 | Codex |
| chinese-git-workflowjnMetaCode/superpowers-zh | Skill | 8.5k | yesterday | MIT | A | 69 | Claude Code |
| atmos-profilescloudposse/atmos | Skill | 1.4k | today | Apache-2.0 | A | 35 | Claude Code |
| webhook-managementhoangsonww/Claude-Code-Agent-Monitor | Skill | 1.2k | today | MIT | A | 56 | Claude Code, Codex |
| managing-github-actions-secretsPostHog/posthog-foss | Skill | 731 | today | MIT | A | 67 | Claude Code, Codex |
| deployment-engineerrmyndharis/antigravity-skills | Skill | 2.0k | 5d ago | MIT | A | 73 | Claude Code, Codex |
| monorepo-managementwshobson/agents | Skill | 42k | 4d ago | MIT | C | 54 | Claude Code |