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/dylanroscover/embody/debug-operatornpx skills add dylanroscover/Embody --skill debug-operatorgit clone --depth 1 https://github.com/dylanroscover/EmbodyWhat 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 | $0.00021 | $0.00821 |
| Opus 5 | $0.00010 | $0.00411 |
| Sonnet 5 | $0.00004 | $0.00164 |
| Haiku 4.5 | $0.00002 | $0.00082 |
Grade A, and why
debug-operator 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 2d 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 — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debug Operator Workflow
Systematic approach to diagnosing TD operator errors:
- Get errors and warnings:
get_op_errorswithrecurse=trueon the suspected operator and its children. It covers all three surfaces TD paints red: cook errors, Python tracebacks (kind: 'script'entries), and GLSL compile failures (shaderErrors) - Inspect the operator:
get_opto see type, family, parameters, inputs, outputs, children - Check connections:
get_connectionsto verify input/output wiring is correct - Read DAT content:
get_dat_contentif the operator is a DAT with script errors - Check parameters:
get_parameteron specific parameters that might be misconfigured - Check performance:
get_op_performanceif the issue is cook-time related
Common Error Patterns
- Missing input: Operator requires a specific input type -- check connections
- Script error in DAT: Read the DAT content and fix the Python/expression
- Parameter out of range: Check parameter values against valid ranges
- Missing operator reference: An expression or parameter references a non-existent operator
- Script error (Python traceback): A raising callback, DAT script, or expression shows a red X but is NOT a cook error -- TD keeps it on a separate surface (
OP.scriptErrors()), andop.errors()reports the op as perfectly clean. Two consequences: read the traceback fromget_op_errors'kind: 'script'entries, and remember these errors PERSIST until cleared. An error thrown during an extension re-init window (the extension object is briefly the old one, so a method added later is missing) stays red long after the code is correct again -- re-cook the owning op, confirm it runs clean, thenclearScriptErrors(recurse=True, error='*')to clear the stale badge. Field case 2026-08-22: Embody's own manager list sat red on'EmbodyExt' object has no attribute 'DirtyState'while the live extension had the method all along. - Cook error: The operator can't process its inputs -- check input data types match expectations
- Black or empty render: Use
capture_topon the intended output TOP, then check display/render flags on the output and upstream ops; missing light or camera (a 3D scene renders black without both); no cooking Null terminating the chain; a bypass flag left on; resolution is 0; alpha is premultiplied/zero so the image is present but invisible; and whether the op is cooking (checkcookedThisFrameviaget_op_performance, or force a cook). After each fix, usecapture_topagain to confirm the frame renders correctly. - Stale content after a file change (cooks clean, shows old pixels): An op can cook with NO errors and the RIGHT resolution yet still hold STALE content. A Movie File In whose
par.filechanged serves its previous cached texture until it cooks on a real frame advance --cook(force=True)in the same frame is not enough. And when a TOP chain's output looks exactly ONE frame stale, suspect same-pass reload propagation: a reload applied mid-pass may not reach downstream ops until the next real frame, even under forced cooks in dependency order. Verify CONTENT, not cook state -- read pixels back (numpyArray()/capture_top) at the POINT OF CAPTURE (the chain's output, not the source) and confirm they actually changed across a real frame advance. See rules/td-python.md (Cook Model) and rules/performance.md (Movie Export).
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.
- 2d ago First seen · 28 lines · 21 tokens per session scan A dc6d7983939b
debug-operator is a skill published in the GitHub repository dylanroscover/Embody (166 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 821 once invoked, about $0.0001 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.
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