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 Suzhou-Tongyuan/sysplorer-mcp-server --skill ty-physical-model-debugginggit clone --depth 1 https://github.com/Suzhou-Tongyuan/sysplorer-mcp-serverWrote 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/suzhou-tongyuan/sysplorer-mcp-server/ty-physical-model-debugging)<a href="https://agentmods.dev/skills/suzhou-tongyuan/sysplorer-mcp-server/ty-physical-model-debugging"><img src="https://agentmods.dev/badge/skills/suzhou-tongyuan/sysplorer-mcp-server/ty-physical-model-debugging/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/suzhou-tongyuan/sysplorer-mcp-server/ty-physical-model-debugging"><img src="https://agentmods.dev/badge/skills/suzhou-tongyuan/sysplorer-mcp-server/ty-physical-model-debugging.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 | $0.02013 |
| Opus 5.5 | $0.00032 | $0.00805 |
| Sonnet 5.5 | $0.00016 | $0.00403 |
| Haiku 4.5 | $0.00008 | $0.00201 |
Grade A, and why
ty-physical-model-debugging 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 19d 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Physical Model Debugging
Use evidence to diagnose, or repair one verified task-owned copy. Record source
and working identities separately; preserve package/resource references, public C
signatures and experiment settings. Before physical-model edits or delivery,
load applicable ty-sysplorer-modeling-rules constraints, including Gate 6 for
changed graphical targets. Pure log diagnosis does not load its full workflow.
Task Mode and Applicable Constraints
Enter directly from a concrete fault; neither the modeling router nor the debug
router is a prerequisite. Select diagnose_only or repair from the request.
In diagnose-only mode, inspect and, only if authorized, reproduce the needed
stage; report the cause or evidence gap and stop without a patch. Offline review
does not authorize execution. Repairs follow the workflow below.
Record the requested terminal stage and user acceptance before execution. Reuse the existing attributable baseline, valid session, and task-owned working copy; do not reroute, replan, or recreate them when loading another skill's constraints. Construction-stage debugging returns to the original construction task.
Fast Path
For a simple single-file or single-package fault, keep the workflow near 12 external calls when practical.
- Read the staged source and SHA-256 once. Do not scan Git, unrelated directories, helper source, or large generated artifacts.
- Extract every functional acceptance invariant supplied by the user, including values, signs, units, ranges, stop time, and KPIs.
- Confirm the target through Sysplorer MCP before first live access: use
session_manager(action="probe")when available, thenhealth. Reuse valid same-session evidence; recheck after a switch, disconnection or infrastructure symptom. Offline artifact inspection needs no session call. Resolve unknown API contracts before calling; do not enumerate all APIs. - Reproduce once through the first failed stage:
check -> translate -> initialize/simulate. Stop at the first failure. - Form one falsifiable hypothesis, make one minimal reversible patch in the work copy, and read back the exact change.
- Rerun the affected stage and the requested terminal chain after its cheaper prerequisites pass. Static-only acceptance does not require simulation.
- Verify original hashes and temporary-settings restoration. Verify end time
for required runtime acceptance and KPIs only when requested or necessary to
resolve the reported abnormal result; otherwise mark them
not_required.
What ships with it
13 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.
- references/current-mcp-recipes.md 6.9 KB
- references/deep-debugging.md 3.0 KB
- references/external-c-debugging.md 5.8 KB
- references/help-doc-index.md 3.1 KB
- references/initialization-and-runtime.md 5.1 KB
- references/report-contract.md 2.5 KB
- scripts/debug_workspace.py 14 KB runs code
- scripts/extract_debug_evidence.py 11 KB runs code
- scripts/query_sysplorer_help.py 11 KB runs code
- skill_info.json 807 B
- SKILL_ZH.md 5.4 KB
- 使用说明.md 1.5 KB
- 版本说明.md 1.2 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.
- 19d ago First seen · 184 lines · 79 tokens per session scan A 117dd428fbf3
ty-physical-model-debugging is a skill published in the GitHub repository Suzhou-Tongyuan/sysplorer-mcp-server (10 stars, last pushed 20d ago), licensed MIT. It adds 79 tokens to every session and 2,013 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-13.
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