Borrowing it
Nothing to install: this file belongs to syahiidkamil/Software-Engineer-AI-Agent-Atlas. 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/syahiidkamil/Software-Engineer-AI-Agent-Atlas/main/.claude/skills/skill-creator/SKILL.mdgit clone --depth 1 https://github.com/syahiidkamil/Software-Engineer-AI-Agent-AtlasWrote 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/syahiidkamil/software-engineer-ai-agent-atlas/skill-creator)<a href="https://agentmods.dev/skills/syahiidkamil/software-engineer-ai-agent-atlas/skill-creator"><img src="https://agentmods.dev/badge/skills/syahiidkamil/software-engineer-ai-agent-atlas/skill-creator/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/syahiidkamil/software-engineer-ai-agent-atlas/skill-creator"><img src="https://agentmods.dev/badge/skills/syahiidkamil/software-engineer-ai-agent-atlas/skill-creator.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 | $0.00064 | $0.07241 |
| Opus 5 | $0.00032 | $0.03621 |
| Sonnet 5 | $0.00013 | $0.01448 |
| Haiku 4.5 | $0.00006 | $0.00724 |
Grade A, and why
skill-creator 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 11d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
17 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.
- agents/analyzer.md 10 KB
- agents/comparator.md 7.1 KB
- agents/grader.md 8.8 KB
- assets/eval_review.html 6.9 KB
- eval-viewer/generate_review.py 16 KB runs code
- eval-viewer/viewer.html 44 KB
- LICENSE.txt 11 KB
- references/schemas.md 12 KB
- scripts/__init__.py 0 B runs code
- scripts/aggregate_benchmark.py 14 KB runs code
- scripts/generate_report.py 13 KB runs code
- scripts/improve_description.py 11 KB runs code
- scripts/package_skill.py 4.1 KB runs code
- scripts/quick_validate.py 3.9 KB runs code
- scripts/run_eval.py 11 KB runs code
- scripts/run_loop.py 13 KB runs code
- scripts/utils.py 1.6 KB runs code
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.
- 11d ago First seen · 486 lines · 64 tokens per session scan A dcd4803e61e9
skill-creator is a skill published in the GitHub repository syahiidkamil/Software-Engineer-AI-Agent-Atlas (395 stars, last pushed 2mo ago), with no licence file. It adds 64 tokens to every session and 7,241 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
continuous-feedback
Identifies improvement targets from accumulated session learnings and proposes concrete skill/agent modifications. General-purpose pipeline for any Claude Code project.
pipeline-templates
Pre-defined F# pipe workflows for multi-agent orchestration. Provides code review, fix validation, test audit, new feature, research & planning, and test execution pipelines. Triggered via PostToolUse hook after significant code changes.
subagent-output-templating
Template for structured sub-agent output including YAML log format, task completion reports (WHY/WHAT/TRADE-OFFS/RISKS), and summary constraints. Use when defining how sub-agents should report results.
component-patterns
Per-component-type verification approaches. Use when generating verification scripts for different component types.
session-handoff
Create consistent session handoff documents for context transfer between sessions. Use when closing a session, reaching 75% token consumption, or when user requests handoff. Ensures proper YAML headers for metrics collection, LF line endings, and complete documentation of progress, decisions, and next steps.
bulwark-statusline
Configure the Bulwark status line for Claude Code. Supports init, preset switching, and customization.