Borrowing it
Nothing to install: this file belongs to OthmanAdi/APEX. 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/OthmanAdi/APEX/main/.agents/skills/apex-tier1/SKILL.mdgit clone --depth 1 https://github.com/OthmanAdi/APEXWrote 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/othmanadi/apex/apex-tier1)<a href="https://agentmods.dev/skills/othmanadi/apex/apex-tier1"><img src="https://agentmods.dev/badge/skills/othmanadi/apex/apex-tier1/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/othmanadi/apex/apex-tier1"><img src="https://agentmods.dev/badge/skills/othmanadi/apex/apex-tier1.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 | $0.00079 | $0.00834 |
| Opus 5 | $0.00039 | $0.00417 |
| Sonnet 5 | $0.00016 | $0.00167 |
| Haiku 4.5 | $0.00008 | $0.00083 |
Grade A, and why
apex-tier1 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
APEX Tier 1 — Fire and Forget
Execute a well-defined task from start to finish without human intervention. Open a draft PR when done.
When to Use
Use Tier 1 when ALL of these are true:
- The task has clear, unambiguous acceptance criteria
- Failure is cheap (can be reverted easily)
- No architectural decisions are required
- The scope is small (one feature, one fix, one file group)
Do NOT use Tier 1 when:
- The task requires design decisions → use
apex-tier2orapex-tier3 - The task touches critical infrastructure → use
apex-tier3 - The requirements are vague → clarify first, then decide tier
Workflow
- Parse the task into acceptance criteria
- Create a working branch
- Implement the change
- Run the self-correcting loop
- Open a draft PR
Step 1: Parse Task into Acceptance Criteria
Convert the task description into a checklist:
Task: "Add unit tests for the UserService class"
Acceptance Criteria:
- [ ] Tests cover all public methods of UserService
- [ ] Tests cover error/edge cases documented in the class
- [ ] All tests pass
- [ ] Coverage does not decrease
- [ ] Lint passes
If you cannot create at least 2 concrete acceptance criteria, the task is too vague for Tier 1. Ask the user to clarify or escalate to Tier 2.
Step 2: Create Working Branch
git checkout -b apex/{task-slug} && git push -u origin apex/{task-slug}
Step 3: Implement the Change
Write the code. Follow project conventions from AGENTS.md. Do not refactor unrelated code. Do not change formatting outside your scope.
Step 4: Self-Correcting Loop
Run validation and iterate until clean:
Linux/Mac:
bash "${CLAUDE_SKILL_DIR}/scripts/validate.sh" <target-dir>
Windows:
powershell -File "${CLAUDE_SKILL_DIR}/scripts/validate.ps1" <target-dir>
Maximum 5 fix cycles. If still failing after 5 attempts, commit what you have, note the failures in the PR description, and flag for human review.
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.
- 8d ago First seen · 116 lines · 79 tokens per session scan A 31202c85a5d4
apex-tier1 is a skill published in the GitHub repository OthmanAdi/APEX (2 stars, last pushed 5mo ago), licensed MIT. It adds 79 tokens to every session and 834 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…