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 grahama1970/agent-skills --skill fixture-trickygit clone --depth 1 https://github.com/grahama1970/agent-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/grahama1970/agent-skills/fixture-tricky)<a href="https://agentmods.dev/skills/grahama1970/agent-skills/fixture-tricky"><img src="https://agentmods.dev/badge/skills/grahama1970/agent-skills/fixture-tricky/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/grahama1970/agent-skills/fixture-tricky"><img src="https://agentmods.dev/badge/skills/grahama1970/agent-skills/fixture-tricky.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 | $0.00043 | $0.01522 |
| Opus 5 | $0.00022 | $0.00761 |
| Sonnet 5 | $0.00009 | $0.00304 |
| Haiku 4.5 | $0.00004 | $0.00152 |
Grade A, and why
fixture-tricky 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 9d 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
11 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.
- fixtures/agentic_eval.json 492 B
- gen_app.py 144 B runs code
- gen_cli.py 7.6 KB runs code
- gen_generators.py 20 KB runs code
- gen_ground_truth.py 11 KB runs code
- gen_tricks_core.py 21 KB runs code
- gen_tricks_ext.py 8.9 KB runs code
- generate.py 733 B runs code
- pyproject.toml 412 B
- run.sh 515 B runs code
- sanity.sh 1.0 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.
- 9d ago First seen · 208 lines · 43 tokens per session scan A 7b5990f0440f
fixture-tricky is a skill published in the GitHub repository grahama1970/agent-skills (6 stars, last pushed today), with no licence file. It adds 43 tokens to every session and 1,522 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
document-query
Read, extract or compare PDFs, Office files, URLs and large text; OCR when vision fails.
inspect-repair
Run a free deterministic quality report on ANY PowerPoint file (yours or generated elsewhere) and optionally auto-repair it. Use when the user asks to check/lint/QA/review a pptx, find broken slides, fix overflowing or hidden text, clean up a deck before sending, or verify a generated deck. Uses the SlideForge REST…
Chat with PDF
Answer questions about PDF content, summarize, and extract information.
yellow-sheet-corpus
Run the Yellow Sheet chain end to end against ANY matter, from the original PDFs, and read the result honestly. Use whenever someone asks what has been tested end to end, whether a matter produces a usable sheet, how to onboard a NEW matter, or asks to re-run after a code change. Carries the intake mechanism that…
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.