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 theneoai/awesome-skills --skill shape-upgit clone --depth 1 https://github.com/theneoai/awesome-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/theneoai/awesome-skills/shape-up)<a href="https://agentmods.dev/skills/theneoai/awesome-skills/shape-up"><img src="https://agentmods.dev/badge/skills/theneoai/awesome-skills/shape-up/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/theneoai/awesome-skills/shape-up"><img src="https://agentmods.dev/badge/skills/theneoai/awesome-skills/shape-up.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 | $0.00000 | $0.02325 |
| Opus 5 | $0.00000 | $0.01162 |
| Sonnet 5 | $0.00000 | $0.00465 |
| Haiku 4.5 | $0.00000 | $0.00232 |
Grade B, and why
shape-up scanned grade B 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 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.
Whitespace paddingmediumPrompt injection
A block of blank lines or a long run of spaces can push injected text below or beside what a reviewer sees, while the model still reads it.
# Shape Up The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
12 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.
- EVALUATION_REPORT.md 4.1 KB
- references/01-intro.md 3.2 KB
- references/02-workflow.md 8.2 KB
- references/10-best-practices.md 1.3 KB
- references/10-examples.md 12 KB
- references/2-what-this-skill-does.md 554 B
- references/3-risk-disclaimer.md 641 B
- references/4-core-philosophy.md 1.5 KB
- references/6-professional-toolkit.md 451 B
- references/7-standards-reference.md 1.6 KB
- references/8-standard-workflow.md 1.3 KB
- references/9-scenario-examples.md 3.2 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.
- 11d ago First seen · 319 lines · 0 tokens per session scan B 6fe383e6bf72
shape-up is a skill published in the GitHub repository theneoai/awesome-skills (161 stars, last pushed 3mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 2,325 tokens. A static security scan graded it B with 1 finding (whitespace padding). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
sn-team-harness
Use when a user asks what SenseNova Team Harness is, wants an introduction or overview, is getting started, or is deciding whether it fits — a self-hosted workspace where people and local AI agents collaborate on conversations, projects, work items, and artifacts. Covers its core concepts (Workspace, Project…
status-report
Use when the user asks for a weekly / monthly status report, project update, individual or team progress summary. Produces a tight, scannable update with what shipped, what's in flight, what's blocked, and metrics.
run-task
Execute a single Todo task through In Progress to Review, meeting every acceptance criterion with tests and vibe-lint checks. Refuses Planning-status tasks. Invoked as /agiflow:run-task . Uses gettask, updatetask, createtaskcomment.
agent-phase-closeout
A Chinese-language process for closing out a completed work stage and recording its state. It summarizes finished work, preserves decisions, freezes completed interfaces, and writes a resume checkpoint.
orchestrate
Pipeline orchestration: dispatch the highest-priority ready tasks/work units to agents, manage capacity, and coordinate the Todo to Done flow. Invoked as /agiflow:orchestrate. Uses listtasks, listactivetasksbyorg, listmembers, updatetask, getworkunitprogress.
search
Search 2500+ curated ChatGPT and LLM open-source repositories. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, RAG, agents, langchain, NLP, AI development, or any open-source AI tooling.