pfc-asphalt-mixture
Build PFC 5.0 asphalt-mixture specimens with explicit aggregate objects, a declared homogenized-mastic or fine-particle abstraction, residual air voids, measured gradation conversion, contact-pair assignment, compaction, equilibrium, and mass-volume closure; use before Marshall,
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
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-asphalt-mixture
Maintenance
fresh
1d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
17
59/100 Quality · 66/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · The skill depends on external skills (pfc5-asphalt-workflow, pfc-burger-viscoelastic) that are not included in this repository; ensure they are available in the target environment.
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
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
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-asphalt-mixture
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- The skill depends on external skills (pfc5-asphalt-workflow, pfc-burger-viscoelastic) that are not included in this repository; ensure they are available in the target environment.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
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
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Suited agents
Install decision
- Command
- npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-asphalt-mixture
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 58/100
- Audit
- 74/100
- 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-asphalt-mixtureDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- The skill depends on external skills (pfc5-asphalt-workflow, pfc-burger-viscoelastic) that are not included in this repository; ensure they are available in the target environment.
- High-risk permission hints: Shell or command execution
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Agent safety v2
42/100 · 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
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Database access
Skill may inspect schemas, query databases, or work with persistent stores.
- High-risk permission hints: Shell or command execution
- Permission surface may require sandboxing
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-asphalt-mixtureAgent 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-asphalt-mixture%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20pfc-asphalt-mixture%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/echo-aloha-pfc-asphalt-mixture/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-asphalt-mixture in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20pfc-asphalt-mixture%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/echo-aloha-pfc-asphalt-mixture/install
Install command: npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-asphalt-mixture
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-asphalt-mixture/install
LLM text format
/api/skills/echo-aloha-pfc-asphalt-mixture/install?format=text
Find alternatives
/api/skills/search?q=pfc-asphalt-mixture&limit=3
Agent prompt
Use pfc-asphalt-mixture for this task. Review https://www.openagentskill.com/api/skills/echo-aloha-pfc-asphalt-mixture/install, then install with: npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-asphalt-mixtureRegistry 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-asphalt-mixture
LLM text
/api/registry/manifest/echo-aloha-pfc-asphalt-mixture?format=text
Install alias
/api/registry/install/echo-aloha-pfc-asphalt-mixture
Recommend
/api/registry/recommend?task=Use%20pfc-asphalt-mixture%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
Needs review · 74/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
GitHub automation
Trust label
Prototype first
Install path
Command ready
Use when
- GitHub 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
- 7 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
- The skill depends on external skills (pfc5-asphalt-workflow, pfc-burger-viscoelastic) that are not included in this repository; ensure they are available in the target environment.
Implementation path
- 1Install it in a sandbox agent and run one GitHub 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
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
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
- The skill depends on external skills (pfc5-asphalt-workflow, pfc-burger-viscoelastic) that are not included in this repository; ensure they are available in the target environment.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 17 GitHub stars
- Stars/forks activity: 17 stars, 0 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
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
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.
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.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Compare before you install
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Overview
--- name: pfc-asphalt-mixture description: Build PFC 5.0 asphalt-mixture specimens with explicit aggregate objects, a declared homogenized-mastic or fine-particle abstraction, residual air voids, measured gradation conversion, contact-pair assignment, compaction, equilibrium, and mass-volume closure; use before Marshall, rutting, creep, or strength tests. ---
# PFC Asphalt Mixture Modeling
Use this skill to build the load-ready digital specimen for asphalt concrete in PFC2D/PFC3D 5.0. It distinguishes physical phases from DEM objects: aggregate may be explicit balls/clumps, mastic may be homogenized into contact laws or partly resolved by fine particles, and air voids remain pore space. This skill produces the specimen only; the parent route is `pfc5-asphalt-workflow`.
## When To Use
Use this skill when the user needs to:
- Build a PFC asphalt-mixture specimen from scratch (2D or 3D), including a source-defined wheel-tracking slab or a standard/large Marshall specimen formed by the selected current method. - Convert an aggregate gradation (AC-13/16/20 级配曲线) into particle counts / clump templates. - Decide how to assign different contact models across 集料-集料、集料-砂浆、砂浆-砂浆、集料-墙 contact pairs. - Choose coarse aggregate as clump versus ball, declare the resolvable fine fraction, and set a target air-void content from the selected mix design/standard. - Prepare a reproducible, staged specimen (00_setup → 01_particles → 02_settled → 03_compacted → 04_burger) before any mechanical test.
Do NOT use this skill for loading tests themselves — route those to `pfc-rutting-test`, `pfc-marshall-test`, or `pfc5-standard-tests`.
## Required Inputs
Ask for these if missing:
- Dimension: 2D or 3D; specimen size and provenance. For current Chinese methods, record the JTG 3410-2025 forming method separately from the performance method (for example T 0702 before T 0709, or T 0703 before T 0719). - Gradation: AC-13 / AC-16 / AC-20, with sieve passing percentages (or a `gradation_*.csv`). - Binder content with an explicit convention (binder/aggregate or binder/mixture); never convert mass to volume without constituent densities. - Contact-model plan: which pairs use linear / Hertz / Burger (see `references/overview.md`). - Target air-void content and the sieve/size boundary between resolved and homogenized fractions. - Measured constituent densities and whether coarse aggregate uses clump templates. - Aggregate test provenance from JTG 3432-2024 or the applicable project/laboratory record, including sieve, density/absorption and any shape metric used to justify the DEM representation.
## Three-Phase Characterization
Asphalt mixture = 三相复合材料. Model each phase distinctly:
Keep the physical gradation classification separate from the DEM resolution boundary. Any sieve value below is project/specification data, not a universal switch that forces one PFC object type.
| 相 | 物理组成 | PFC 表示 | | --- | --- | --- | | 项目定义的粗集料 | 按所选级配/规范定义 | clump、ball 或其他已验证形状表示;由形状目标和分辨率决定 | | 项目定义的细集料+矿粉 | 按所选级配及可分辨尺度定义 | 可解析为 ball/clump,或并入均质砂浆/接触抽象;必须声明截断边界 | | 沥青砂浆 | 沥青 + 细料 + 矿粉的均质化胶浆 | 可由接触模型等效;这不是显式砂浆体积 | | 空隙 | 项目/试验/规范给定的目标空隙率 | 颗粒间剩余孔隙(压实控制并做质量-体积闭合) |
Two common modeling routes: - **Route A (homogenized mastic)**: explicit aggregate plus a calibrated contact law. It is economical, but binder/mastic mass is not automatically represented by object volume. - **Route B (resolved fines)**: add resolvable fine/filler particles and define aggregate-fine/fine-fine interfaces. Binder may still be homogenized at contacts, so do not call this a literal three-particle-phase model unless binder objects exist.
## Gradation Conversion
Convert sieve passing percentages into retained-bin mass/volume fractions, then into resolved objects only after applying constituent densities and the declared DEM cutoff. See `references/gradation.md` for the user-input schema and conversion procedure. It deliberately does not bundle standard gradation tables. Key rule: 各档留存比例 = 相邻筛孔通过率之差;object type follows the declared shape/resolution abstraction rather than a fixed sieve; target volumes must satisfy the selected binder convention, constituent densities, air voids and mass-volume closure.
## Contact-Model Assignment
| 接触对 | 推荐模型 | 说明 | | --- | --- | --- | | 集料-集料 | linear 或经论证的 bonded law | linear 表示无黏结摩擦;contact bond 不能标成“无黏结” | | 集料-等效砂浆界面 | Burger 或标定的界面模型 | 只有相应对象/分组存在时才能分配 | | 细料-细料/砂浆等效接触 | Burger | 需由宏观蠕变/动态响应反演 | | 集料-墙/压头 | linear(高摩擦) | 模拟钢模/钢压头约束 |
Details and PFC command templates in `references/overview.md` and the sibling skill `pfc-burger-viscoelastic`.
## Default Modeling Pipeline (Staged, Resumable)
Use this as a default auditable route. Stage names may be renamed, merged or skipped for imported specimens or alternative preparation methods if the same state provenance, checks and restart points remain explicit.
1. `setup`: create the domain and dimensionality-appropriate specimen boundaries, save `00_setup`. 2. `particles`: generate the declared resolved fractions with the selected ball/clump/shape abstraction, save `01_particles`. 3. `settle`: use the declared deposition/compaction preparation; identify and treat floaters with a stated criterion rather than deleting them automatically, save `02_settled`. 4. `compact`: top-wall downward compaction to target porosity/height, save `03_compacted`. 5. `contacts`: audit existing contacts and future `cmat` defaults, install final contact models with a PFC5-verified procedure, re-equilibrate, save `04_contacts`. 6. Hand off the load-ready specimen to `pfc-rutting-test` / `pfc-marshall-test` / `pfc5-standard-tests`.
## Working Rules
- Use PFC 5.0 `cmat` semantics and reject unsupported newer-major command families. This package does not maintain a cross-version migration route. - Fix the random seed and record it — asphalt specimen generation must be reproducible. - Use the user's measured/project gradation and name the governing specification edition. Do not reconstruct or supply a standard gradation table when the user has not provided legally sourced project inputs. - Keep aggregate characterization, mixture forming and performance testing as separate source records. A T 0302/T 0327 sieve result, a T 0702/T 0703 forming procedure and a T 0709/T 0719 performance result are not interchangeable provenance fields. - Prefer validated non-spherical representations when aggregate shape/interlock is a target; balls are acceptable when the simplification is declared and its effect is checked. - Preserve logically distinct milestone states and their checks. The example names are `00_setup`, `01_particles`, `02_settled`, `03_compacted`, `04_contacts`; a project may combine or rename them if restartability and audit evidence are retained. - Verify mass/volume closure and achieved air-void content; neither a remembered 3–5% range nor specimen height alone is a universal acceptance criterion.
## Output Contract
A complete specimen handoff should include:
- Dimension, gradation table, resolved/homogenized cutoff, representation choice, and object counts by group. - The staged save list with file names and what each stage achieved. - Contact-model assignment table (which pair → which model + key properties). - Achieved porosity vs target porosity (压实验证). - A clear note that loading tests continue in `pfc-rutting-test` / `pfc-marshall-test` / `pfc5-standard-tests`.
## Local Contents
- `references/overview.md`: three-phase characterization, contact-model strategy, and the staged pipeline with a transactional contact-switch rule. - `references/gradation.md`: user-supplied gradation schema and the volume-to-object conversion procedure; no standard data tables. - `../pfc5-asphalt-workflow/references/standards-method-map.md`: reviewed standard roles and the aggregate-to-performance method chain. - `scripts/minimal_specimen_smoke.p3dat`: complete six-wall PFC3D 5.0 command-flow smoke test; not a production asphalt specimen. - `dependencies.json`: package-level links to the PFC5 parent and Burger specialist. - `agents/openai.yaml`: agent interface 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
- 77/100
- 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-asphalt-mixture, ready for a manual X post.
pfc-asphalt-mixture: Build PFC 5.0 asphalt-mixture specimens with explicit aggregate objects, a declared homogeniz... 17 stars https://www.openagentskill.com/skills/echo-aloha-pfc-asphalt-mixture?ref=x
Optional reply with install command
Listing + install path for pfc-asphalt-mixture: https://www.openagentskill.com/skills/echo-aloha-pfc-asphalt-mixture?ref=x Install: npx skills add Echo-aloha/asphalt-codex-skills-5 --skill pfc-asphalt-mixture
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-asphalt-mixture)
[](https://www.openagentskill.com/skills/echo-aloha-pfc-asphalt-mixture)
[](https://www.openagentskill.com/skills/echo-aloha-pfc-asphalt-mixture/audit)
[](https://www.openagentskill.com/skills/echo-aloha-pfc-asphalt-mixture)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
- 7
- 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
Do not auto-install
- 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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