pfc-burger-viscoelastic
Select, probe, calibrate, and audit the Burger viscoelastic contact model for PFC 5.0 asphalt-mixture cases, including Maxwell-Kelvin parameter roles, units, temperature/rate dependence, PFC5 cmat assignment, timestep checks, creep/recovery validation, and PFC5-only syntax bounda
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
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-burger-viscoelastic
Maintenance
fresh
1d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
17
59/100 Quality · 74/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Low GitHub adoption signal
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-burger-viscoelastic
Install safety
standard package or runtime install path
Permission surface
shell or command execution, database access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 17 GitHub stars
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
- Security and compliance workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect risky files
Suited agents
Install decision
- Command
- npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-burger-viscoelastic
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 66/100
- 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-burger-viscoelasticDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution
Agent safety v2
49/100 · 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.
medium
Database access
Skill may inspect schemas, query databases, or work with persistent stores.
- High-risk permission hints: Shell or command execution
- Financial research output is not financial advice; require human review before any live investment decision
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-burger-viscoelasticAgent 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-burger-viscoelastic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20pfc-burger-viscoelastic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/echo-aloha-pfc-burger-viscoelastic/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-burger-viscoelastic in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20pfc-burger-viscoelastic%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/echo-aloha-pfc-burger-viscoelastic/install
Install command: npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-burger-viscoelastic
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-burger-viscoelastic/install
LLM text format
/api/skills/echo-aloha-pfc-burger-viscoelastic/install?format=text
Find alternatives
/api/skills/search?q=pfc-burger-viscoelastic&limit=3
Agent prompt
Use pfc-burger-viscoelastic for this task. Review https://www.openagentskill.com/api/skills/echo-aloha-pfc-burger-viscoelastic/install, then install with: npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-burger-viscoelasticRegistry 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-burger-viscoelastic
LLM text
/api/registry/manifest/echo-aloha-pfc-burger-viscoelastic?format=text
Install alias
/api/registry/install/echo-aloha-pfc-burger-viscoelastic
Recommend
/api/registry/recommend?task=Use%20pfc-burger-viscoelastic%20in%20an%20agent%20workflow&limit=3
Agent fit
Security and compliance
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 Security and compliance
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Security and compliance
Trust label
Prototype first
Install path
Command ready
Use when
- Security and compliance workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 59/100 quality profile
review first
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Security and compliance 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
- Financial research output is not financial advice; require human review before any live investment decision.
- 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
Reduce risk
Security and compliance
I need my agent to scan a project for security risks and summarize what needs attention.
Review risk
Legal and compliance
I need my agent to review contracts, privacy policies, or compliance documents and summarize risks.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
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.
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.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Compare before you install
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Overview
--- name: pfc-burger-viscoelastic description: Select, probe, calibrate, and audit the Burger viscoelastic contact model for PFC 5.0 asphalt-mixture cases, including Maxwell-Kelvin parameter roles, units, temperature/rate dependence, PFC5 cmat assignment, timestep checks, creep/recovery validation, and PFC5-only syntax boundary checks. ---
# PFC Burger Viscoelastic Contact Model
Use this skill for the viscoelastic contact-law stage of `pfc5-asphalt-workflow`. Burger may represent homogenized asphalt mastic behavior at selected contacts, but it does not by itself create an explicit binder phase or guarantee mixture-scale behavior.
## When to use
- assign or audit Burger contacts in a PFC5 asphalt specimen; - interpret Maxwell and Kelvin spring/dashpot roles; - fit temperature- and rate-dependent mixture/mastic response; - build a two-contact or small-RVE verification probe; - review a Burger command block for non-PFC5 contamination.
Do not use this skill to invent production constants from a generic table.
## Required inputs
- PFC2D or PFC3D 5.0 and the unit system; - object/contact pairs that Burger is intended to represent; - all Burger properties with units, or raw calibration curves with units; - test temperature, loading rate/frequency and conditioning history; - specimen/contact geometry and resolution used during inverse fitting; - target creep/recovery, dynamic modulus/phase or other macro curves; - material level and test provenance: binder, mastic or mixture; for JTG 3410-2025 inputs, record the exact DSR/BBR/MSCR/LAS or mixture-performance method rather than writing only “rheology data”; - contact replacement policy for existing versus future contacts; - timestep/damping/stop criteria and acceptance tolerances.
## Constitutive interpretation
Burger combines a Maxwell branch (spring plus dashpot in series) and a Kelvin branch (spring plus dashpot in parallel). Normal and shear directions have separate parameters. Stiffness-like terms control instantaneous/delayed compliance; dashpot terms control time scale and permanent or delayed deformation. Friction and interface choices remain separate physical assumptions.
Property names and dimensions are syntax-family-specific. Read `references/burger-theory.md` for theory and `references/pfc-command.md` for version-labelled syntax notes.
## Workflow
1. Freeze units, temperature, rate/frequency, geometry and contact-pair meaning. 2. Verify the PFC5.0 Burger property names with a minimal runtime probe. 3. Run a minimal PFC5 two-body contact probe: contact creation, load/hold/unload, recovery, save/restore and property listing. 4. Install the model using PFC5 `cmat` semantics, distinguishing future defaults from current-contact changes. 5. Re-equilibrate the specimen and preserve a pre-load save. 6. Classify every curve as binder, mastic or mixture before fitting. JTG T 0627/T 0628, T 0647 and T 0648 binder data are priors or trend constraints, not direct mastic-contact targets. Only a declared test on the same mastic may target a mastic RVE; contact constants still require inverse fitting through the fixed PFC discretization. 7. Validate creep and recovery at the calibration condition, then confirm at another duration/rate/temperature or independent specimen. 8. Check timestep sensitivity and rerun the target Marshall/rutting pilot.
## Working rules
- PFC5 is the only supported target in this package. Unsupported-major-version command blocks are rejected, not retained as migration references. - Do not use numerical “60 °C reference values” as production defaults; their units, geometry scaling and provenance are not established for the user's case. - Never reuse one parameter set at another temperature without an explicit, experimentally supported shift/fitting method. - Do not mix binder-level JTG 3410-2025 outputs with mixture-level T 0738/T 0745/T 0719 curves as if they had the same geometry or stress measure. Record the scale transition and validate it through the RVE/specimen. - Do not label a binder DSR/BBR curve as mastic evidence merely because the Burger contact represents homogenized mastic. If no same-material mastic test exists, record the mastic calibration layer as assumption-bound and test its sensitivity. - Do not delete/recreate all contacts merely as a generic recipe. Choose and verify a version-correct current/future contact transition that preserves the intended state. - Treat a linear fallback as a diagnostic branch, never as evidence that Burger is calibrated. - Mark commands `runtime_verified` only after a PFC5.0 runtime accepts them and the probe response passes.
## Output contract
- PFC2D/PFC3D 5.0, units, temperature/rate and contact-pair meaning; - exact version-labelled assignment command and current/future contact policy; - parameter table with units, bounds, provenance and fitted values; - two-body/RVE probe histories and timestep sensitivity; - calibration/confirmation curves and error metrics; - pre/post contact-installation save map; - unresolved runtime or identifiability risks.
## Local contents
- `references/burger-theory.md` — Maxwell-Kelvin mechanics. - `references/pfc-command.md` — version-labelled command notes and legacy examples. - `references/calibration.md` — guarded macro-response fitting route. - `../pfc5-asphalt-workflow/references/standards-method-map.md` — reviewed test-method roles and scale boundaries. - `scripts/burger_contact_probe.p3dat` — executable PFC3D 5.0 two-ball relaxation probe; parameters are not calibrated material values. - `agents/openai.yaml` — Agent metadata. - `dependencies.json` — package-level link to the standards method map.
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
- 83/100
- 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-burger-viscoelastic, ready for a manual X post.
pfc-burger-viscoelastic: Select, probe, calibrate, and audit the Burger viscoelastic contact model for PFC 5.0 asphalt... 17 stars https://www.openagentskill.com/skills/echo-aloha-pfc-burger-viscoelastic?ref=x
Optional reply with install command
Listing + install path for pfc-burger-viscoelastic: https://www.openagentskill.com/skills/echo-aloha-pfc-burger-viscoelastic?ref=x Install: npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-burger-viscoelastic
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-burger-viscoelastic)
[](https://www.openagentskill.com/skills/echo-aloha-pfc-burger-viscoelastic)
[](https://www.openagentskill.com/skills/echo-aloha-pfc-burger-viscoelastic/audit)
[](https://www.openagentskill.com/skills/echo-aloha-pfc-burger-viscoelastic)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
- 0
- 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 completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskdatabase surfacePASS
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