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automation-standards

Scraping + AI-provider standards — the Scraper trait & SCRAPERS registry, selector resilience, rate-limiting/cancellation, and the provider-abstraction (zero-change) rule for embeddings/streaming/prompts. Load for changes under scraping/, ai_provider/, packages/prompts, documents

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Price unconfirmed★ 61 GitHub starsRegistry updated · Oct 8, 2026agent-skill

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Automation standards (scraping + AI-provider)

Authoritative: docs/knowledge/automation-domain.md.

Scraping

Register via the registry — scraping/boards/mod.rs (SCRAPERS, Scraper trait, ScraperMode Http/Browser). Don't special-case boards outside the registry.
Selector resilience — core boards need fallback selectors; a brittle single-selector parse on a core board is HIGH.
Reliability — honor the cancellation token in ScrapeContext; bounded retries with backoff; per-board rate limits; graceful failure recovery (don't poison the queue).
Sessions/cookies — handled safely; never log credentials/cookies (security lens → tauri-security-reviewer).

AI provider (the architectural rule — HIGH if violated)

No business logic depends on provider-specific APIs. All providers implement a shared interface; adding OpenAI/Anthropic/Gemini/Ollama/OpenRouter/LM Studio = config + adapter only.
Embeddings — versioned; on model/space change, invalidation must run (stale embeddings are HIGH).
Streaming — partial responses + cancellation handled; no leaks on cancel.
Prompts (packages/prompts) — provider-aware + locale-driven, pure TS, zero deps; reusable/composable templates.
Cost — minimize token/context; pick the cheapest viable model.

External standards & best-practices (verified 2026-06-19)

AI / LLM (cross-provider — Claude specifics live in the `claude-api` skill)

OWASP Top 10 for LLM Apps (2025) — https://genai.owasp.org/llm-top-10/
- LLM01 Prompt Injection (direct + indirect) — segregate/label untrusted external content (scraped JD/résumé text is untrusted; never concatenate raw into the instruction block); constrain model role; deterministically validate output; least-privilege tool tokens; human-in-the-loop on high-risk actions. No fool-proof fix → layer defenses.
- LLM05 Improper Output Handling — treat output as untrusted; parse/validate (Zod/serde) before it reaches IPC/files/render; never eval/shell/SQL with raw output.
- LLM02 Sensitive-Info Disclosure + LLM07 System-Prompt Leakage — strip PII/secrets from prompts + logs; no secrets in system prompts. LLM06 Excessive Agency — minimal tools/permissions; gate side-effects behind user confirmation.
Structured output — prefer native tool/function-calling with constrained decoding over free-text JSON; schemas guarantee shape, not values — still validate.
Streaming — SSE is the cross-provider standard; handle partial/aborted streams, disable proxy buffering, support cancellation, prefer partial+error over silent regen.
Retries/idempotency — backoff + jitter; retry only idempotent reads; idempotency key/ledger for mutating tool calls.
Cost/caching — static prefix first (system prompt + tool schemas) to maximize prompt-cache hits; instrument hit-rate.
Evals — version prompts; rerun a fixed eval set on every prompt/model/provider change (2026 models ship faster than your releases and silently shift behavior).

Scraping — legality & resilience

Scope: scrape public, logged-out job postings (listings/JD text), not candidate PII or auth-walled pages. Stay in that lane.

Public + logged-out only. Public-data scraping isn't "unauthorized access" under the CFAA (hiQ; narrowed by Van Buren). Never log in, bypass CAPTCHAs, rotate IPs to evade blocks, or defeat auth — that flips CFAA + breach risk. https://www.quinnemanuel.com/the-firm/news-events/client-alert-meta-v-bright-data-significant-decision-for-web-scraping-industry/
⚠️ ToS/contract is the real exposure. Meta v. Bright Data (Jan 2024): logged-OUT scrapers aren't ToS-bound; logged-in scraping stays bound. But 2025 LinkedIn v. Proxycurl etc. show boards winning on contract — treat LinkedIn/Indeed-class sites with named anti-scraping ToS as registry-gated, conservative.
⚠️ EU/GDPR — "public" ≠ free to process personal data; needs lawful basis + the EDPB Opinion 28/2024 three-step legitimate-interest test (+ respect robots.txt, exclude sensitive data, minimize). Clearview fines show "public" is no shield. https://iapp.org/news/a/the-state-of-web-scraping-in-the-eu
robots.txt (RFC 9309) — obey it; on 5xx/unreachable assume disallow; cache ≤24h. Identify honestly (stable descriptive UA, no browser spoofing to evade). Rate-limit + backoff per host; honor Retry-After/429. https://www.rfc-editor.org/rfc/rfc9309.html
Resilience — semantic selectors (ARIA roles, data-*, JSON-LD JobPosting) over brittle CSS/xpath; version-aware fallback chains; detect drift + fail loudly (no silent empty results); each board isolated in the SCRAPERS registry. Accept anti-bot reality: back off / disable a scraper rather than fingerprint-spoof (spoofing is the legal red line).

Common mistakes: concatenating scraped/untrusted text into the instruction block (LLM01); trusting structured-output values because the shape validated; proxy buffering killing streaming; retrying non-idempotent tool calls; secrets in system prompts; shipping a prompt change with no eval gate; logging in / bypassing CAPTCHA-or-rate-limits to scrape; treating "public" EU personal data as free; brittle selectors with no fallback/drift alarm.

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File metadata

name: automation-standards
description: Scraping + AI-provider standards — the Scraper trait & SCRAPERS registry, selector resilience, rate-limiting/cancellation, and the provider-abstraction (zero-change) rule for embeddings/streaming/prompts. Load for changes under scraping/, ai_provider/, packages/prompts, documents/embed.

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---
name: automation-standards
description: Scraping + AI-provider standards — the Scraper trait & SCRAPERS registry, selector resilience, rate-limiting/cancellation, and the provider-abstraction (zero-change) rule for embeddings/streaming/prompts. Load for changes under scraping/, ai_provider/, packages/prompts, documents/embed.
---

# Automation standards (scraping + AI-provider)

Authoritative: `docs/knowledge/automation-domain.md`.

## Scraping

- Register via the registry — `scraping/boards/mod.rs` (`SCRAPERS`, `Scraper` trait, `ScraperMode` Http/Browser). Don't special-case boards outside the registry.
- **Selector resilience** — core boards need fallback selectors; a brittle single-selector parse on a core board is HIGH.
- **Reliability** — honor the cancellation token in `ScrapeContext`; bounded retries with backoff; per-board rate limits; graceful failure recovery (don't poison the queue).
- **Sessions/cookies** — handled safely; never log credentials/cookies (security lens → `tauri-security-reviewer`).

## AI provider (the architectural rule — HIGH if violated)

- **No business logic depends on provider-specific APIs.** All providers implement a shared interface; adding OpenAI/Anthropic/Gemini/Ollama/OpenRouter/LM Studio = **config + adapter only**.
- **Embeddings** — versioned; on model/space change, invalidation must run (stale embeddings are HIGH).
- **Streaming** — partial responses + cancellation handled; no leaks on cancel.
- **Prompts** (`packages/prompts`) — provider-aware + locale-driven, pure TS, zero deps; reusable/composable templates.
- **Cost** — minimize token/context; pick the cheapest viable model.

## External standards & best-practices (verified 2026-06-19)

### AI / LLM (cross-provider — Claude specifics live in the `claude-api` skill)

- **OWASP Top 10 for LLM Apps (2025)** — https://genai.owasp.org/llm-top-10/
  - **LLM01 Prompt Injection** (direct + indirect) — **segregate/label untrusted external content** (scraped JD/résumé text is untrusted; never concatenate raw into the instruction block); constrain model role; deterministically validate output; least-privilege tool tokens; human-in-the-loop on high-risk actions. No fool-proof fix → layer defenses.
  - **LLM05 Improper Output Handling** — treat output as untrusted; parse/validate (Zod/serde) before it reaches IPC/files/render; never `eval`/shell/SQL with raw output.
  - **LLM02 Sensitive-Info Disclosure** + **LLM07 System-Prompt Leakage** — strip PII/secrets from prompts + logs; no secrets in system prompts. **LLM06 Excessive Agency** — minimal tools/permissions; gate side-effects behind user confirmation.
- **Structured output** — prefer native tool/function-calling with constrained decoding over free-text JSON; schemas guarantee _shape_, not _values_ — still validate.
- **Streaming** — SSE is the cross-provider standard; handle partial/aborted streams, disable proxy buffering, support cancellation, prefer partial+error over silent regen.
- **Retries/idempotency** — backoff + jitter; retry only idempotent reads; idempotency key/ledger for mutating tool calls.
- **Cost/caching** — static prefix first (system prompt + tool schemas) to maximize prompt-cache hits; instrument hit-rate.
- **Evals** — version prompts; rerun a fixed eval set on every prompt/model/provider change (2026 models ship faster than your releases and silently shift behavior).

### Scraping — legality & resilience

> Scope: scrape **public, logged-out** job postings (listings/JD text), not candidate PII or auth-walled pages. Stay in that lane.

- **Public + logged-out only.** Public-data scraping isn't "unauthorized access" under the CFAA (hiQ; narrowed by Van Buren). **Never** log in, bypass CAPTCHAs, rotate IPs to evade blocks, or defeat auth — that flips CFAA + breach risk. https://www.quinnemanuel.com/the-firm/news-events/client-alert-meta-v-bright-data-significant-decision-for-web-scraping-industry/
- ⚠️ **ToS/contract is the real exposure.** _Meta v. Bright Data_ (Jan 2024): logged-OUT scrapers aren't ToS-bound; **logged-in scraping stays bound.** But 2025 _LinkedIn v. Proxycurl_ etc. show boards winning on contract — treat LinkedIn/Indeed-class sites with named anti-scraping ToS as **registry-gated, conservative**.
- ⚠️ **EU/GDPR** — "public" ≠ free to process personal data; needs lawful basis + the EDPB Opinion 28/2024 three-step legitimate-interest test (+ respect robots.txt, exclude sensitive data, minimize). Clearview fines show "public" is no shield. https://iapp.org/news/a/the-state-of-web-scraping-in-the-eu
- **robots.txt (RFC 9309)** — obey it; on 5xx/unreachable assume disallow; cache ≤24h. **Identify honestly** (stable descriptive UA, no browser spoofing to evade). Rate-limit + backoff per host; honor `Retry-After`/429. https://www.rfc-editor.org/rfc/rfc9309.html
- **Resilience** — semantic selectors (ARIA roles, `data-*`, JSON-LD `JobPosting`) over brittle CSS/xpath; version-aware fallback chains; detect drift + **fail loudly** (no silent empty results); each board isolated in the `SCRAPERS` registry. Accept anti-bot reality: **back off / disable a scraper rather than fingerprint-spoof** (spoofing is the legal red line).

**Common mistakes:** concatenating scraped/untrusted text into the instruction block (LLM01); trusting structured-output _values_ because the _shape_ validated; proxy buffering killing streaming; retrying non-idempotent tool calls; secrets in system prompts; shipping a prompt change with no eval gate; logging in / bypassing CAPTCHA-or-rate-limits to scrape; treating "public" EU personal data as free; brittle selectors with no fallback/drift alarm.

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Review before install: Avoid automatic install

License: Apache-2.0

Dependency or permission surface needs review
Permission surface may require sandboxing
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 61 GitHub stars
Stars/forks activity: 61 stars, 5 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

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Source & usage notes

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Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: saeedkolivand/ai-job-hunter-app
License: Apache-2.0
Version: Unknown
Last GitHub push: Oct 8, 2026
Registry updated: Oct 8, 2026
Instruction path: .claude/skills/automation-standards/SKILL.md @ 590013a6fc23

Version reported in registry metadata; check source releases before relying on it.

Quality

59/100

Promising

Trust

59/100

Do not auto-install

Audit

72/100

Needs review

Open full audit View eval report

Dependency or permission surface needs review
Permission surface may require sandboxing
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 61 GitHub stars
Stars/forks activity: 61 stars, 5 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Outcomes: —

Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.

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More details

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      "Audit: 72/100 Needs review",
      "Safety: 24/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "saeedkolivand-automation-standards (automation-standards)",
      "install_command": "npx skills add saeedkolivand/ai-job-hunter-app --skill automation-standards",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "saeedkolivand-automation-standards",
      "task": "Use automation-standards in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/saeedkolivand-automation-standards",
    "api": "https://www.openagentskill.com/api/agent/skills/saeedkolivand-automation-standards",
    "audit": "https://www.openagentskill.com/skills/saeedkolivand-automation-standards/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=saeedkolivand-automation-standards&task=Use%20automation-standards%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20automation-standards%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20automation-standards%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/saeedkolivand-automation-standards/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/saeedkolivand-automation-standards"
  }
}

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Creator: saeedkolivand
Source: saeedkolivand/ai-job-hunter-app
Indexed by: OpenAgentSkill community index

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Overview

Automation standards (scraping + AI-provider)

Scraping

AI provider (the architectural rule — HIGH if violated)

External standards & best-practices (verified 2026-06-19)

AI / LLM (cross-provider — Claude specifics live in the claude-api skill)

Scraping — legality & resilience

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Start with one small task

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Registry indexed

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AI / LLM (cross-provider — Claude specifics live in the `claude-api` skill)