pfc-rutting-test
Design, implement, and audit PFC3D 5.0 asphalt wheel-tracking/rutting simulations using RVE-to-strip-to-full-size scaling, PFC5-compatible wall motion and reaction-force control, Burger-calibrated contacts, rut-depth histories, edition-specific dynamic-stability calculations, and
Supply asset profile
Legal, policy, and compliance
Contract analysis, privacy, policy review, compliance checks, governance, and document risk review.
Scenario
Security and compliance
I need my agent to scan a project for security risks and summarize what needs attention.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-rutting-test
Maintenance
fresh
1d since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
17
59/100 Quality · 73/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
17 GitHub stars
Repo activity
17 stars, 0 forks
Maintenance
1d since push
License
MIT
Install
npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-rutting-test
Install safety
standard package or runtime install path
Permission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 17 GitHub stars
- Stars/forks activity: 17 stars, 0 forks; issue activity unavailable in current metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Browser automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Navigate pages
Suited agents
Install decision
- Command
- npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-rutting-test
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 65/100
- Audit
- 77/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-rutting-testDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- High-risk permission hints: Shell or command execution
- Quality score needs review
Agent safety v2
53/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
- High-risk permission hints: Shell or command execution
- Low GitHub adoption signal
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install echo-aloha-pfc-rutting-testAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20pfc-rutting-test%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20pfc-rutting-test%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/echo-aloha-pfc-rutting-test/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use pfc-rutting-test in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20pfc-rutting-test%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/echo-aloha-pfc-rutting-test/install
Install command: npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-rutting-test
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/echo-aloha-pfc-rutting-test/install
LLM text format
/api/skills/echo-aloha-pfc-rutting-test/install?format=text
Find alternatives
/api/skills/search?q=pfc-rutting-test&limit=3
Agent prompt
Use pfc-rutting-test for this task. Review https://www.openagentskill.com/api/skills/echo-aloha-pfc-rutting-test/install, then install with: npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-rutting-testRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/echo-aloha-pfc-rutting-test
LLM text
/api/registry/manifest/echo-aloha-pfc-rutting-test?format=text
Install alias
/api/registry/install/echo-aloha-pfc-rutting-test
Recommend
/api/registry/recommend?task=Use%20pfc-rutting-test%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Platforms
Claude Code, OpenAI Agents
Audit report
Needs review · 77/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Browser automation
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Browser automation
Trust label
Prototype first
Install path
Command ready
Use when
- Browser automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 59/100 quality profile
- 4 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
Implementation path
- 1Install it in a sandbox agent and run one Browser automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX17 GitHub stars
Stars/forks activity
FIX17 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 17 GitHub stars
- Stars/forks activity: 17 stars, 0 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Reduce risk
Security and compliance
I need my agent to scan a project for security risks and summarize what needs attention.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Add it to a complete workflow
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
Maigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
Overview
--- name: pfc-rutting-test description: Design, implement, and audit PFC3D 5.0 asphalt wheel-tracking/rutting simulations using RVE-to-strip-to-full-size scaling, PFC5-compatible wall motion and reaction-force control, Burger-calibrated contacts, rut-depth histories, edition-specific dynamic-stability calculations, and explicit equivalent-load validation. ---
# PFC5 Wheel-Tracking and Rutting Test
Use this skill after specimen generation and Burger calibration. Prefer PFC3D because wheel width, lateral confinement, contact patch and rut geometry are intrinsically three-dimensional.
## When to use
- plan a wheel-tracking/rutting model in PFC 5.0; - choose a moving, rolling-faceted or fixed equivalent cyclic load; - servo a wall/head to a target reaction rather than assign a read-only contact force; - extract rut-depth histories and an edition-specific dynamic-stability metric; - scale an RVE to a strip/pilot and then a full-size slab.
Do not use this skill for Marshall or for specimen generation.
## Required inputs
- exact PFC3D 5.0 build, units and runtime budget; - governing standard edition, method ID, clauses and machine/specimen coefficients; - slab, mold, wheel and travel geometry; - conditioning/test temperature; - wheel motion definition and whether “count” means one-way pass or complete cycle; - prescribed pressure/load and the physical/equivalent contact-area definition; - load-control implementation and tolerance; - load-ready specimen plus calibrated contact parameters; - rut-depth measurement region/reference and stop condition; - laboratory rut curve/dynamic-stability targets.
The current reviewed route is JTG 3410-2025 T 0719-2025, effective 2025-10-01. JTG E20-2011 T0719 is a legacy route and must not supply current default dimensions, time windows or coefficients.
## Modeling hierarchy
1. **RVE/material check** — calibrate creep/recovery and timestep sensitivity. 2. **Strip/pilot model** — verify boundaries, contact patch, load servo, wheel motion, rut measurement and computational cost. 3. **Full-size model** — use only after the first two gates pass.
The exact dimensions and test values come from the selected standard edition or laboratory protocol, not from a remembered default.
## Loading routes
| Route | Meaning | Acceptance gate | | --- | --- | --- | | moving faceted wheel/head | translation over slab | reaction and footprint match target throughout travel | | rolling faceted wheel | translation plus angular velocity | kinematic sign, slip and facet-resolution sensitivity | | fixed equivalent cyclic patch | accelerated surrogate | correlation to moving-wheel pilot; never label as normative motion |
In PFC5, contact force is normally an observed reaction. Apply load by a verified servo or velocity/position control and demonstrate that the reaction meets the target. Pressure-to-force conversion requires a declared reference area; the evolving DEM contact area is not automatically that area.
## Workflow
1. Freeze standard edition, physical parameters and numerical equivalents separately. 2. Restore the load-ready specimen, audit boundaries/contact groups and equilibrate. 3. Build and motion-test the wheel/head with no specimen. 4. Run a small contact/load-servo probe; quantify reaction error and oscillation. 5. Run the strip pilot for a short declared number of cycles/passes. 6. Record wheel position, commanded motion, reaction, reference surface, rut depth, the seven fixed-position measurements or an approved equivalent, timestep, equilibrium/inertia indicators, one-way pass count and round-trip count. 7. Confirm no wall penetration, particle escape, axis/sign error or callback duplication. 8. Run the production duration with restart saves. 9. Compute the standard metric only from the selected edition's formula, intervals and coefficients; otherwise report the raw rut history with the metric pending. 10. Compare against laboratory curves and run seed/resolution/rate/load-route sensitivity.
## Working rules
- Keep PFC5 command/FISH syntax version-pure. - Do not set `wall.force` as if it were a prescribed actuator without proof from the exact PFC5 API; use a verified motion/servo controller. - Do not assume a rectangular patch, accelerated cycle or fixed load is equivalent to a moving rubber wheel. Calibrate and label the surrogate. - For T 0719-2025, compute DS from the current method's pass-count interval and width coefficient. Do not use the legacy `45 min/60 min` shorthand or an unverified extra correction coefficient. - Preserve RVE, strip, pre-load, pilot and production milestone saves. - Full-size output without pilot load-control evidence is not validated.
## Output contract
- PFC build/units and standard edition/method/clause; - physical versus DEM-equivalent parameter table; - specimen/wheel/boundary/contact assignment; - actuator/servo pseudocode or PFC5-verified code plus reaction-error history; - rut-depth measurement definition and raw time/pass/cycle history; - edition-correct metric calculation with units/coefficients, or pending status; - RVE/strip/full-size stage evidence and sensitivity results; - laboratory comparison and `runtime_validated` status.
## Local contents
- `references/overview.md` — current T 0719-2025 measurement, count and PFC3D mapping. - `references/jtg-t0719.md` — current-version gate, user-input template and symbolic metric; no standard data tables. - `references/modeling-strategy.md` — PFC5-safe hierarchy and controller pseudocode. - `../pfc5-asphalt-workflow/references/standards-policy.md` — standards policy. - `scripts/rutting_contact_pilot.p3dat` — executable curved-wheel PFC3D 5.0 contact/translation pilot; not a normative wheel-tracking model. - `dependencies.json` — package-level sibling-skill assets required for the complete workflow. - `agents/openai.yaml` — Agent metadata.
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 21, 2026
- Published
- Aug 21, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 82/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for pfc-rutting-test, ready for a manual X post.
A practical pick for design or creative work: pfc-rutting-test: Design, implement, and audit PFC3D 5.0 asphalt wheel-tracking/rutting simulations using RVE-to-strip-to-full-size scaling,... 17 stars https://www.openagentskill.com/skills/echo-aloha-pfc-rutting-test?ref=x
Optional reply with install command
Listing + install path for pfc-rutting-test: https://www.openagentskill.com/skills/echo-aloha-pfc-rutting-test?ref=x Install: npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-rutting-test
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- Echo-aloha
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to Echo-aloha but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/echo-aloha-pfc-rutting-test)
[](https://www.openagentskill.com/skills/echo-aloha-pfc-rutting-test)
[](https://www.openagentskill.com/skills/echo-aloha-pfc-rutting-test/audit)
[](https://www.openagentskill.com/skills/echo-aloha-pfc-rutting-test)Author
Echo-aloha
@echo-aloha
Tags
Platform fit
Health signals
- GitHub stars
- 17
- Quality score
- 32/100
- Last GitHub push
- Aug 21, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 4
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption17 GitHub starsFIX
- Stars/forks activity17 stars, 0 forks; issue activity unavailable in current metadataFIX
- Recent maintenance1d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime risknetwork or browser surfacePASS
Related skills
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K Stars