pfc-burger-viscoelastic

REVIEW · 66
Registry indexed

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

Verified installs0
Stars17
Version1.0.0
Quality59/100 · Promising
Trust66/100 · Sandbox only
Audit77/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

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

CodingCoding agentssecurityagent-skill

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

Promising
59

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
66

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
77

A 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.

CodexClaude CodeCursorOpenAgentSkill CLI

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.

Open JSON

Suited tasks

  • Security and compliance workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect risky files

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

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-viscoelastic

Do 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

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

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.

skill install

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-viscoelastic

Agent 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 text plan

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.

Open install API

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-viscoelastic

Registry 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.

Open manifest

Agent fit

58/100

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.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Security and compliance

Prototype with this skill first; keep a fallback candidate ready.

58
Readiness
Prototype
Stage

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

  1. 1Install it in a sandbox agent and run one Security and compliance task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 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.

66
OpenAgentSkill Trust Score

GitHub adoption

FIX

17 GitHub stars

Stars/forks activity

FIX

17 stars, 0 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

1d since push

License clarity

PASS

MIT

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.

59
GitHub stars
17
Freshness
1d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

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

58
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

77
Needs review
Security
83/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
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

X

Scenario-led draft for pfc-burger-viscoelastic, ready for a manual X post.

Curator note
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
Open X draft
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

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
Echo-aloha
Indexed by
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

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Owner 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

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Author

E

Echo-aloha

@echo-aloha

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

66
  • 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