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 agentmods add skills/manykarim/robotframework-agentskills/resultsnpx skills add manykarim/robotframework-agentskills --skill resultsgit clone --depth 1 https://github.com/manykarim/robotframework-agentskillsWrote 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/manykarim/robotframework-agentskills/results)<a href="https://agentmods.dev/skills/manykarim/robotframework-agentskills/results"><img src="https://agentmods.dev/badge/skills/manykarim/robotframework-agentskills/results.svg" alt="Measured on agentmods" 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 | $0.00082 | $0.00518 |
| Opus 5 | $0.00041 | $0.00259 |
| Sonnet 5 | $0.00016 | $0.00104 |
| Haiku 4.5 | $0.00008 | $0.00052 |
Grade A, and why
results scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- rf-results — 92% identical, 10 lines differ
What it actually says
Robot Framework Results
Use the bundled script to read Robot Framework output.xml and return JSON. It supports:
- summary totals
- detailed suite/test breakdowns
- tag statistics and criticality grouping
- execution errors, failed test messages, and keyword-level errors
- timing (keyword timing is opt-in)
- single or multiple outputs (merge or combine with rebot)
Quick start
Single file summary:
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/rf_results.py" --output output.xml --sections summary
Multiple outputs, merged (--merge replaces earlier results when tests overlap):
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/rf_results.py" --outputs out1.xml out2.xml --merge --sections summary,details
Multiple outputs, combined under a new top-level suite (no --merge):
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/rf_results.py" --outputs out1.xml out2.xml --name Combined --sections summary
Include keyword timing in timing output:
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/rf_results.py" --output output.xml --sections timing --include-keyword-timing
Output sections
summary: totals, suite/test counts, overall statusdetails: suites, tests, failed tests, tag stats, criticality statserrors: execution errors, failed test messages, keyword errorstiming: totals and slowest tests; keyword timing requires--include-keyword-timing
Notes
- Criticality grouping: inferred from tags
critical,noncritical, ornon-critical. If none of these tags are present, the test is grouped asunspecified. - For multiple outputs, use
--mergeto mirrorrebot --mergebehavior. Without--merge, rebot combines outputs under a new top-level suite (name via--name). - JSON output is written to stdout. Use
--prettyfor indented JSON.
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.
- 5d ago First seen · 54 lines · 82 tokens per session scan A bd6b13598def
results is a skill published in the GitHub repository manykarim/robotframework-agentskills (30 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 82 tokens to every session and 518 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…