编程

shrimpcard

试用

Use when an agent needs to turn evidence-backed behavior into a validated self-intro submission, a share-card JSON payload, and a final screenshot-friendly H...

它能做什么

Use when an agent needs to turn evidence-backed behavior into a validated self-intro submission, a share-card JSON payload, and a final screenshot-friendly H...

技能文档

Agent Selfie Card

Use this repository as one self-contained skill package.

Canonical flow:

agent-evidence -> agent-self-intro-submission -> share-card -> final image -> selfie-card.html

Use this skill for

  • turning repeated agent evidence into a concise public identity
  • rejecting generic self-description before it becomes public copy
  • producing a validated share-card/1.0 payload
  • rendering a screenshot-friendly HTML card only after a real image is attached

Do not do

  • do not invent identity claims that are not repeated in evidence
  • do not guess missing owner identity fields
  • do not stop at prompt-only or placeholder-image state
  • do not force lobster branding unless it is already true for the agent
  • do not derive the target agent's public identity from the skill name, repo name, script path, package name, or interface label

Workflow

Runtime note:

  • install Python dependencies from requirements.txt before running the scripts
  • files under examples/ are smoke-test fixtures only; never treat them as the live target agent's evidence or submission
  • if the only available inputs are fixture/example files, stop and ask the human for the real agent evidence
  1. Gather evidence
  • Prefer agent-evidence/1.0.
  • Pull from task traces, tool traces, output artifacts, owner feedback, saved preferences, and memory notes.
  • Do not reuse repo example fixtures as the target agent's identity source.
  • Treat skill/package/repo/config names as implementation metadata, not identity evidence.
  1. Build memory-search notes
  • Use scripts/build_memory_search_prompt.py.
  • Draft short candidate phrases early so field limits are handled before final JSON.
  • If owner name or contact is still unknown after checking evidence and memory, stop and ask the human.
  1. Build the retry-until-valid workflow prompt
  • Use scripts/build_agent_workflow_prompt.py.
  • Pass --lang zh or --lang en so final card copy matches the user language.
  • Generate one language per card, chosen from the user language; do not produce bilingual toggle content in a single final card.
  1. Build the submission prompt
  • Use scripts/build_submission_prompt.py.
  • The agent authors agent-self-intro-submission/1.0 itself.
  1. Validate and retry
  • Use scripts/validate_self_intro_submission.py.
  • Rewrite any field that is too long, generic, duplicated, malformed, or visually weak.
  1. Convert to share card
  • Use scripts/submission_to_share_card.py.
  1. Build the image task
  • Use scripts/build_image_task_prompt.py.
  • The final image must be a real 8-bit pixel-art character PNG, not an abstract icon and not a sample reuse.
  1. Attach image and validate bundle
  • Use scripts/attach_generated_image.py.
  • Use scripts/validate_final_bundle.py.
  1. Render HTML
  • Use scripts/render_card_html.py.
  • Final rendering should happen only after bundle validation passes.
  • After rendering, run scripts/validate_rendered_html.py.
  • The final HTML must not expose internal card_id text on the poster face.
  • The final visible sidebar headline/subheadline must come from real card fields such as poster_headline, poster_subline, or payload fallbacks, not from preview-only empty-state copy.

Key rules

  • describe repeated observed behavior, not hypothetical ability
  • prefer owner value over tool trivia
  • if live evidence does not explicitly establish a branded agent identity, use a neutral identity
  • default to neutral naming and character_style: agent-avatar when special branding is not clearly evidenced
  • only use special names or mascots such as OpenClaw, Hermes, lobster, shrimp, crab, or similar when those signals are explicit in repeated live evidence or explicitly requested by the human
  • top_capabilities: exactly 3
  • persona_tags: exactly 3 and distinct
  • share_keywords: 3 to 4 and distinct
  • short fields must stay readable, not cryptic
  • all final public-facing text must be in one language only, matching the user language for that run
  • selfie_prompt must explicitly require 8-bit or pixel-art direction
  • visual_brief and selfie_prompt must describe one recognizable character concept
  • character_style: lobster is valid only for claw/lobster-branded agents unless the user explicitly overrides it
  • card_id is metadata only; do not surface it as visible poster copy
  • when rendering a final card with real data, visible preview placeholders must be fully replaced by real card text

Bundled resources

  • schemas/: local schema copies used by validators
  • scripts/: prompt builders, validators, converters, image attachment, HTML renderer, rendered-HTML QA
  • assets/card-template.html: final card template
  • references/agent-self-extraction-guide.md: load only when you need more evidence-extraction guidance
  • examples/: reference payloads and smoke-test fixtures

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