simulation
Skill10 starsChanged 53 days agoMITView on GitHub
Implement, review and run a module's functional testbench, diagnose verification failures and assess coverage; not for changing upstream RTL or requirements.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- robium-ai/robiumtheir own version, first seen Aug 7, 2026
- microsoft/durabletask-jstheir own version, first seen Jul 31, 2026
- ffsshhttiikk/opencode-agents-skillstheir own version, first seen Feb 28, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- robium-ai/robium★ 93same name
- microsoft/durabletask-js★ 14same name
- ffsshhttiikk/opencode-agents-skills★ 2same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository13 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- brainstormSkill
- design-flowSkill
- env-precheckSkill
- lint-cdcSkill
- power-analysisSkill
- rtl-designSkill
- simulation-planSkill
- simulation-triageSkill
- specificationSkill
- synthesisSkill
- timing-analysisSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 6 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Read {workdir}/dispatch.json for the current inputs and work scope.
- Distinctive: line 15
Use the original algorithm/specification as the reference.
- Distinctive: line 22
Use env-task-contract.md for setup and materialization details, and authoring-checks.md for check semantics.
- Distinctive: line 38
Use verify-task-contract.md to run the required regression and coverage-iteration.md to investigate coverage.
- Distinctive: line 48
Read RTL, TB, reports and traces as needed.
- Distinctive: line 52
Use evidence to justify any measurement exclusion.
- Distinctive: line 66
When the evidence supports acceptance, run the deterministic final checks:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Functional Simulation
Establish whether the implementation meets the applicable behavior and coverage requirements. The stage owner assesses source, reports and review evidence to reach the conclusion. Implement or delegate focused work; use an independent reviewer for check adequacy.
Read {workdir}/dispatch.json for the current inputs and work scope. intent, requirements,
plan, scaffold, check_hints, spec and rtl provide original requirements, verification
strategy, boundary and implementation. Write under {workdir}; upstream artifacts are read-only.
Use the original algorithm/specification as the reference. Inspecting RTL to diagnose a failure
must not turn the implementation into its own expected behavior.
See artifacts.md for report locations and which diagnostic files are published or retained per run.
Build and check
Continue from carried TB and results, changing what the current inputs or failures require. Use env-task-contract.md for setup and materialization details, and authoring-checks.md for check semantics. If delegating, supply the relevant input paths and work scope; collect the actual results before acting on them.
Compile changed sources, run appropriate smoke checks and validate materialization. Missing test results or a failed tool command require investigation; neither identifies the repair owner by itself. Repair local faults and retry affected work. Return an upstream defect with evidence when it cannot be repaired within this stage.
Have the TB reviewed using check-review-task-contract.md. Assess all findings by their evidence and acceptance impact, including those labeled non-blocking. Validate repairs and obtain independent reassessment of changed checks or disputed findings. Retain the review record and report incomplete reviews or unresolved violations at closure.
Verify and diagnose
Use verify-task-contract.md to run the required regression and coverage-iteration.md to investigate coverage. Reuse applicable existing evidence; do not repeat unrelated tool work. Before closure, the case results and coverage must describe the tests and implementation being delivered, including any failed or unrun cases.
make simv, make smoke/make regress, make coverage and make summary are independent:
compile changed sources before running tests. Execution replaces the affected current evidence;
coverage can combine multiple tests and seeds from the current compilation. Recompilation
replaces that executable and its coverage databases; reporting alone preserves them.
Read RTL, TB, reports and traces as needed. A focused experiment can distinguish missed stimulus, an incorrect check, instrumentation, an implementation defect and a requirement ambiguity. A behavior missing from the testpoint list does not determine which of these is responsible.
Use evidence to justify any measurement exclusion. An authorized acceptance change establishes a new scope; it does not prove unreachable behavior or satisfy an unchanged original requirement. Decisions follow the user's actual authorization, whether made by a person or under delegation.
Close the stage
<skill> is this skill's directory. Close after the required work is complete or when an unresolved
issue must return to the caller. Use a failure result for a known violation or incomplete work:
python3 <skill>/scripts/sim/__main__.py finalize --workdir {workdir} \
--phase fail --fail-reason "<unresolved cause and evidence>" [--fix-owner <rule>]When the evidence supports acceptance, run the deterministic final checks:
python3 <skill>/scripts/sim/__main__.py finalize --workdir {workdir} --phase final \
--plan <scaffold> --requirements <requirements>/requirements.json \
--check-review {workdir}/check-review.md [--fix-owner <rule>]Finalize checks materialization, unresolved BLOCKING review headings, bounded coverage and test
results. It cannot adjudicate prose: a known violation not marked by the reviewer still needs
--phase fail --fail-reason. Keep failure locations and causes in fail_reason; retain per-test logs, the regression log,
case summaries and review records as the evidence.
Name the owner from the actual defect, not the filename or the failed step. Local TB repair is
simulation; an implementation defect is rtl-design; a wrong plan or requirement goes to its
producer. If ownership remains unresolved, omit it; the caller can dispatch simulation-triage.
Exit 0 means result.json was written, pass or fail. A nonzero exit means closure failed; fix the
reported cause or return it as unresolved. The caller decides what runs next from the result.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

