agentic-stack is a portable layer of agent memory, skills, and protocols stored in a .agent/ folder that can be used across multiple coding-agent tools. It is for people who switch between agent harnesses while keeping shared knowledge and monitoring data. The catalogue entries provide skills and rules for this shared agent layer.
Borrowing it
Nothing to install: this file belongs to codejunkie99/agentic-stack. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/codejunkie99/agentic-stack/master/.agent/skills/deploy-checklist/SKILL.mdgit clone --depth 1 https://github.com/codejunkie99/agentic-stackWrote 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/codejunkie99/agentic-stack/deploy-checklist)<a href="https://agentmods.dev/skills/codejunkie99/agentic-stack/deploy-checklist"><img src="https://agentmods.dev/badge/skills/codejunkie99/agentic-stack/deploy-checklist/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/codejunkie99/agentic-stack/deploy-checklist"><img src="https://agentmods.dev/badge/skills/codejunkie99/agentic-stack/deploy-checklist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Rogue Agent · line 38 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00003 | $0.00370 |
| Opus 5.5 | $0.00001 | $0.00148 |
| Sonnet 5.5 | $0.00001 | $0.00074 |
| Haiku 4.5 | $0.00000 | $0.00037 |
Grade A, and why
deploy-checklist 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.
What it actually says
Deploy Checklist — the fence between staging and prod
Run this checklist before any deploy. The production deploy itself is
gated by a human approval step enforced in protocols/permissions.md.
Pre-deploy checks
- All tests passing locally and in CI.
- No unresolved TODOs or FIXMEs in the diff.
- Migrations are reversible, or an explicit rollback plan is documented.
- Env vars for new features are set in the target environment.
- Feature flags default to off for anything user-visible.
- Changelog or release notes updated.
Staging deploy
- Deploy. Watch logs for 5 minutes. Click through the new flow in a real browser.
- If anything looks off, roll back and investigate. Do not push through.
Production deploy
- This step requires human approval. The agent must ask, not assume.
- Deploy during a low-traffic window when possible.
- Watch error rate and latency dashboards for 15 minutes post-deploy.
- Be ready to rollback in one command; have the rollback command pre-typed.
Post-deploy
- Log the deploy (version, time, who approved) to episodic memory with
importance: 8. - If anything went wrong, run the debug-investigator loop and update this checklist with the new step that would have caught it.
Self-rewrite hook
After any rollback, this checklist is missing a step. Add it.
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 · 40 lines · 3 tokens per session scan A dea800713e89
deploy-checklist is a skill published in the GitHub repository codejunkie99/agentic-stack (2,302 stars, last pushed 9d ago), licensed Apache-2.0. It adds 3 tokens to every session and 370 once invoked, about $0.0000 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.
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