{"slug":"indranilbanerjee-backlink-gap","name":"backlink-gap","description":"Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch.","long_description":"---\nname: backlink-gap\ndescription: \"Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch.\"\nargument-hint: \"[brand-name]\"\nuser-invocable: true\n---\n\n# /digital-marketing-pro:backlink-gap\n\n## Purpose\n\nIdentify the highest-leverage backlink prospects — domains that link to multiple competitors but not to you — and rank them by an opinionated priority score that combines authority, link-overlap signal, downstream traffic, and topical relevance. Produces a numbered output bundle ready for outreach handoff.\n\n## Context efficiency\n\nHeavy skill. **Grep before Read** any referenced file, then `Read` only matched ranges with `offset` + `limit`. List `${CLAUDE_PLUGIN_DATA}/<brand>/` before opening files. On re-invocation mid-session, skip files already in context.\n\n## When to Use\n\n- Quarterly backlink audit — \"where did our competitors grow links this quarter and we didn't?\"\n- Pre-launch link-building plan for a new product or content hub\n- Digital PR qualification — separating \"would-link-to-anyone\" prospects from \"high-confidence-will-link-to-our-space\"\n- Competitive recovery — a competitor displaced you and you want to know which links moved\n- Onboarding a new client and need a \"first 50 link targets\" backlog\n\n**Don't use** when you just need backlink *quantity* numbers (use the brand's connected backlink MCP directly) or when you need *anchor-text* analysis of your own profile (that's a separate audit — covered in `seo-audit`).\n\n## Brand context (auto-applied)\n\n1. Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`\n2. If no brand exists: ask \"Set up a brand first (/digital-marketing-pro:brand-setup)?\" — or proceed with defaults\n3. Apply `skills/context-engine/industry-profiles.md` for industry-specific link-quality thresholds (YMYL industries should set higher `--min-dr`)\n4. Apply `skills/context-engine/compliance-rules.md` to filter out blocked publishers (e.g., PBN-style or paid-link networks the brand has explicitly banned)\n\n## Inputs\n\n| Input | Source | Required? |\n|---|---|---|\n| Our backlinks CSV | Export from connected backlink MCP (Ahrefs / Semrush / SE Ranking / Moz) for the brand's primary domain | yes |\n| Competitor backlinks CSVs (2+) | Same exporter, one per competitor (2 minimum for the link-overlap signal; 3-5 is the sweet spot) | yes |\n| Min DR / DA filter | CLI flag, brand-profile default, or industry standard | optional |\n| Top-N count | How many prospects to surface | optional |\n\n**One competitor is allowed** (the script warns rather than errors) but the resulting \"shared signal\" is noise — single-competitor gap analysis is really just \"who links to them\" rather than \"who consistently links in our space.\"\n\n## Process (10 steps, numbered-file output)\n\nAll outputs go to `${CLAUDE_PLUGIN_DATA}/{brand}/seo/backlink-gap/{YYYY-MM-DD}/`.\n\n1. **`00-input.md`** — capture our domain, competitor list (with rationale: why these N?), filter parameters, run timestamp\n2. **`01-data-pull.md`** — pull backlinks for `{brand}.tld` and each competitor via brand's connected backlink MCP. **Budget guard**: if the MCP exposes credit cost, sum estimated cost and ask \"Continue? (y/N — default N)\" before fetching when total > 200 credits.\n3. **`02-ours.csv`** — our backlink export (raw)\n4. **`03-comp-{competitor}.csv`** — one CSV per competitor (raw)\n5. **`04-gap-run.json`** — run the script:\n   ```bash\n   python \"${CLAUDE_PLUGIN_ROOT}/scripts/backlink_gap.py\" \\\n       --ours \"${CLAUDE_PLUGIN_DATA}/{brand}/seo/backlink-gap/{date}/02-ours.csv\" \\\n       --competitors \\\n         \"${CLAUDE_PLUGIN_DATA}/{brand}/seo/backlink-gap/{date}/03-comp-competitor1.csv\" \\\n         \"${CLAUDE_PLUGIN_DATA}/{brand}/seo/backlink-gap/{date}/03-comp-competitor2.csv\" \\\n       --min-dr {brand.profile.min_link_dr or 20} \\\n       --top 100 \\\n       --out \"${CLAUDE_PLUGIN_DATA}/{brand}/seo/backlink-gap/{date}/04-gap-run.json\"\n   ```\n   `--competitors` takes an explicit space-separated list of CSV paths (`nargs=\"+\"`) — **enumerate each `03-comp-*.csv` file; the script does not expand a `*` glob**, so a quoted `03-comp-*.csv` would fail with FileNotFoundError. List one path per competitor.\n6. **`05-quality-scorecard.md`** — read `quality_scorecard` from `04-gap-run.json`. If `status: needs_review`, diagnose:\n   - `data_freshness: fail` → input CSV(s) older than 90 days. Re-pull data; backlink graphs decay fast.\n   - `sample_size: fail` → any input < 50 unique referring domains. Either the domain is too new or the export was truncated. Re-export with no row limit.\n   - `competitor_coverage: warn` → only 1 competitor. Add at least 1 more for genuine overlap signal.\n   - `link_overlap_signal: fail` → fewer than 5 referring domains link to ≥2 competitors. Either competitors are poorly chosen (they don't share a content space with each other) or the data is incomplete. Re-choose competitors.\n7. **`06-prospect-shortlist.md`** — top 30 prospects, formatted for outreach handoff: domain, DR, link count across competitors, suggested outreach angle (guest post, broken-link, resource-page mention)\n8. **`07-broken-link-candidates.md`** — subset where one or more competitor links return 4xx (run a quick HTTP HEAD pass on competitor backlink URLs — use the brand's connected web-fetch MCP). These are \"easy wins\" — pitch your URL as the replacement.\n9. **`08-outreach-templates.md`** — three template variants: (a) cold-pitch resource-page, (b) broken-link replacement, (c) competitor mention. Each pre-filled with brand voice from the brand profile's voice fields + `skills/context-engine/guidelines-framework.md`.\n10. **`PLAN.md`** — single-page summary: stats + scorecard + top 10 prospects with outreach angle + recommended cadence (3-5 pitches/week for sustainable outreach quality).\n\n## Output format\n\n```\n${CLAUDE_PLUGIN_DATA}/{brand}/seo/backlink-gap/2026-06-04/\n├── 00-input.md\n├── 01-data-pull.md\n├── 02-ours.csv\n├── 03-comp-{competitor1}.csv\n├── 03-comp-{competitor2}.csv\n├── ...\n├── 04-gap-run.json\n├── 05-quality-scorecard.md\n├── 06-prospect-shortlist.md\n├── 07-broken-link-candidates.md\n├── 08-outreach-templates.md\n└── PLAN.md\n```\n\n## Quality scorecard (the four gates)\n\n| Gate | What it checks | Why it matters |\n|---|---|---|\n| **data_freshness** | All input CSVs have mtime within 90 days | Backlink graphs decay fast — stale data sends you chasing dead links |\n| **sample_size** | Each input has ≥ 50 unique referring domains | Below this, the gap math has too little signal to rank |\n| **competitor_coverage** | ≥ 2 competitor CSVs supplied | The \"shared signal\" is what separates real prospects from noise |\n| **link_overlap_signal** | ≥ 5 referring domains link to ≥ 2 of the competitors | If no domains shared, your competitors aren't actually competing in the same content space |\n\n`status: ready` requires all four gates pass (`competitor_coverage: warn` does not block — it's a soft signal).\n\n## Priority score (0–1, displayed in 04-gap-run.json)\n\n```\npriority = 0.40 × DR_normalised\n         + 0.25 × link_count_normalised  (how many competitors this domain links to)\n         + 0.20 × traffic_normalised\n         + 0.15 × topical_relevance\n```\n\n**Why link_count is weighted higher than traffic:** a domain that links to 3/3 competitors is unambiguously in your space and willing to link. A high-traffic domain that only links to 1 might just be a tier-1 publisher who happens to have covered one of you in passing.\n\n## Chain handoffs\n\nThis skill is a producer in a longer chain:\n\n1. `/digital-marketing-pro:competitor-analysis` — picks the right competitors\n2. **`/digital-marketing-pro:backlink-gap`** — *this skill*\n3. `/digital-marketing-pro:digital-pr` — consumes `06-prospect-shortlist.md` + `08-outreach-templates.md`\n4. `/digital-marketing-pro:pr-pitch` — drafts individual pitches per prospect\n5. `/digital-marketing-pro:performance-report` — quarterly re-runs of this skill feed the \"links gained\" KPI\n\n## Tips & caveats\n\n- **More competitors ≠ better.** Three to five focused competitors beats ten random ones. The \"shared signal\" gate works best when all competitors are in the same content space.\n- **DR/DA from different exporters aren't comparable.** Don't mix an Ahrefs export with a Moz export — the script doesn't know to normalise across exporters. Pick one provider per audit.\n- **Topical relevance is the weakest signal in most exports** because few exporters provide it well. The script defaults to 0.5 if absent, which is the right neutral. Override only if you have a curated topical-relevance score.\n- **Don't outreach 100 prospects in one week.** The output is a backlog, not a queue. Sustainable cadence: 3-5 highly personalised pitches per week per outreach lead.\n- **Broken-link candidates tend to have the highest hit rate** (broken-link replacement pitches typically out-reply cold pitches by a wide margin — the \"30-60% vs 5-15%\" figures are an illustrative rule of thumb, not measured; validate against your own outreach data) — always work the `07-broken-link-candidates.md` list first.\n- **Re-run quarterly,** not monthly. Backlink data moves slowly enough that monthly runs mostly produce noise.\n- **YMYL industries** (health, finance, legal) should set `--min-dr 40` to filter out low-authority publishers that could damage E-E-A-T.\n\n## Agents used\n\n- `seo-specialist` (primary) — interpretation of prospect quality\n- `competitive-intel` — competitor-set selection rationale (Step 1)\n- `pr-outreach` — outreach template drafting (Step 8)\n- `brand-guardian` — banned-publisher filter at Step 6\n\n## See also\n\n- `/digital-marketing-pro:competitor-analysis` — pick the competitors for this audit\n- `/digital-marketing-pro:digital-pr` — runs the actual outreach\n- `/digital-marketing-pro:seo-drift` — re-run quarterly to track delta\n- `/digital-marketing-pro:seo-audit` — broader site-level audit including own-profile health\n- `scripts/backlink_gap.py` — the underlying gap engine\n","tagline":"Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and p","category":"security","tags":["agent-skill"],"author":"indranilbanerjee","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github fast track","sourceDetail":"indranilbanerjee/digital-marketing-pro","creatorName":"indranilbanerjee","creatorUrl":"https://github.com/indranilbanerjee","sourceUrl":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/indranilbanerjee-backlink-gap#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":787,"forks":132,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":43.38},"quality":{"score":76,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"787","tone":"positive"},{"label":"Freshness","value":"20d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":70,"base_score":78,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["70/100 Trust Score v5","78/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":76,"weight":0.13,"status":"info","detail":"787 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":71,"weight":0.08,"status":"info","detail":"787 stars, 132 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"20d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":64,"weight":0.12,"status":"info","detail":"command execution surface, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":48,"weight":0.07,"status":"warn","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"787 GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"787 stars, 132 forks; 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require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"787 GitHub stars","repoActivity":"787 stars, 132 forks","lastPushed":"20d since push","license":"MIT","repository":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap","install":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","20d since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["security","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","trust_score":70,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["security","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":78,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v5":{"version":"trust-score-v5","score":70,"base_score":78,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["70/100 Trust Score v5","78/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":76,"weight":0.13,"status":"info","detail":"787 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":71,"weight":0.08,"status":"info","detail":"787 stars, 132 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"20d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":64,"weight":0.12,"status":"info","detail":"command execution surface, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":48,"weight":0.07,"status":"warn","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"787 GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"787 stars, 132 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"20d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"787 GitHub stars","repoActivity":"787 stars, 132 forks","lastPushed":"20d since push","license":"MIT","repository":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap","install":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","20d since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["security","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","trust_score":70,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["security","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":78,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":78,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":76,"weight":0.13,"status":"info","detail":"787 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":71,"weight":0.08,"status":"info","detail":"787 stars, 132 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"20d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":64,"weight":0.12,"status":"info","detail":"command execution surface, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":48,"weight":0.07,"status":"warn","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"787 GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"787 stars, 132 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"20d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"],"evidence":{"stars":"787 GitHub stars","repoActivity":"787 stars, 132 forks","lastPushed":"20d since push","license":"MIT","repository":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap","install":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","20d since push","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["security","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":55,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","55/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Permission surface may require sandboxing"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","55/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":74,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: shell or command execution, filesystem or document access","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Permission surface: shell or command execution, filesystem or document access"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate backlink-gap before installing it in an agent workflow","security","Research agents workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap"]},{"id":"trust_score","label":"Trust score","status":"warn","score":78,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","787 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":83,"required_for_auto_install":true,"detail":"Needs review","evidence":["Permission surface may require sandboxing"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":55,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"warn","score":76,"required_for_auto_install":false,"detail":"Public metadata needs stronger README/SKILL.md context","evidence":["Usable metadata, review docs"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"20d since push","evidence":["20d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":48,"required_for_auto_install":true,"detail":"shell or command execution, filesystem or document access","evidence":["Shell or command execution: high","Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/indranilbanerjee-backlink-gap/evals","api":"/api/agent/evals?slug=indranilbanerjee-backlink-gap","text":"/api/agent/evals?slug=indranilbanerjee-backlink-gap&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"indranilbanerjee-backlink-gap","name":"backlink-gap","description":"Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch.","category":"security","url":"https://www.openagentskill.com/skills/indranilbanerjee-backlink-gap","repository":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap","github_repo":"indranilbanerjee/digital-marketing-pro"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Retrieve market data","Compare financial signals"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add indranilbanerjee-backlink-gap"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"backlink-gap\" agent skill from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"indranilbanerjee-backlink-gap\",\"task\":\"Install backlink-gap\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"backlink-gap\" as a Claude Code skill from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"indranilbanerjee-backlink-gap\",\"task\":\"Install backlink-gap\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"backlink-gap\" from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"indranilbanerjee-backlink-gap\",\"task\":\"Install backlink-gap\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/indranilbanerjee-backlink-gap/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/indranilbanerjee-backlink-gap"},"trust":{"score":78,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"787 GitHub stars","repoActivity":"787 stars, 132 forks","lastPushed":"20d since push","license":"MIT","repository":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap","install":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["security","agent-skill"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":83,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":76,"label":"Strong"},"supply":{"track":"Finance and quant workflows","scenario":"Finance and quant","maintenance":"20d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"agent_contract":{"task_input":"Use backlink-gap in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 78/100 Strong shortlist","Audit: 83/100 Needs review","Safety: 55/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"indranilbanerjee-backlink-gap (backlink-gap)","install_command":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","risk_summary":"Needs review; Experimental; 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":"indranilbanerjee-backlink-gap","task":"Use backlink-gap 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/indranilbanerjee-backlink-gap","api":"https://www.openagentskill.com/api/agent/skills/indranilbanerjee-backlink-gap","audit":"https://www.openagentskill.com/skills/indranilbanerjee-backlink-gap/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=indranilbanerjee-backlink-gap&task=Use%20backlink-gap%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20backlink-gap%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20backlink-gap%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/indranilbanerjee-backlink-gap/install","manifest":"https://www.openagentskill.com/api/registry/manifest/indranilbanerjee-backlink-gap"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"indranilbanerjee-backlink-gap","name":"backlink-gap","description":"Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch.","category":"security","url":"https://www.openagentskill.com/skills/indranilbanerjee-backlink-gap","repository":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap","github_repo":"indranilbanerjee/digital-marketing-pro"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Retrieve market data","Compare financial signals"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add indranilbanerjee-backlink-gap"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"backlink-gap\" agent skill from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"indranilbanerjee-backlink-gap\",\"task\":\"Install backlink-gap\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"backlink-gap\" as a Claude Code skill from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"indranilbanerjee-backlink-gap\",\"task\":\"Install backlink-gap\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"backlink-gap\" from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"indranilbanerjee-backlink-gap\",\"task\":\"Install backlink-gap\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/indranilbanerjee-backlink-gap/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/indranilbanerjee-backlink-gap"},"trust":{"score":78,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"787 GitHub stars","repoActivity":"787 stars, 132 forks","lastPushed":"20d since push","license":"MIT","repository":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap","install":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["security","agent-skill"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":83,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":76,"label":"Strong"},"supply":{"track":"Finance and quant workflows","scenario":"Finance and quant","maintenance":"20d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"agent_contract":{"task_input":"Use backlink-gap in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 78/100 Strong shortlist","Audit: 83/100 Needs review","Safety: 55/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"indranilbanerjee-backlink-gap (backlink-gap)","install_command":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","risk_summary":"Needs review; Experimental; 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":"indranilbanerjee-backlink-gap","task":"Use backlink-gap 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/indranilbanerjee-backlink-gap","api":"https://www.openagentskill.com/api/agent/skills/indranilbanerjee-backlink-gap","audit":"https://www.openagentskill.com/skills/indranilbanerjee-backlink-gap/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=indranilbanerjee-backlink-gap&task=Use%20backlink-gap%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20backlink-gap%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20backlink-gap%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/indranilbanerjee-backlink-gap/install","manifest":"https://www.openagentskill.com/api/registry/manifest/indranilbanerjee-backlink-gap"}},"supply_profile":{"track":{"slug":"finance","label":"Finance and quant workflows","shortLabel":"Finance","description":"Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows."},"scenario":{"label":"Finance and quant","description":"I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"finance-quant","title":"Finance and quant"},{"slug":"github-automation","title":"GitHub automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":787,"starsLabel":"787","forks":132,"license":"MIT","qualityScore":76,"trustScore":78,"auditScore":83},"maintenance":{"status":"fresh","label":"20d since push","daysSincePush":20,"lastPushedAt":"2026-08-17T10:50:14+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access"]},"coverageTags":["Finance","Finance and quant","security","agent-skill"]},"audit":{"audit_score":83,"risk_level":"needs_review","risk_label":"Needs review","quality_score":76,"trust_score":78,"maintenance_score":100,"security_score":81,"install_score":92,"warnings":["Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"quality_signals":{"model":"v2","star_score":20.28,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"finance-quant","title":"Finance and quant","url":"https://www.openagentskill.com/use-cases/finance-quant"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"security-compliance","title":"Security and compliance","url":"https://www.openagentskill.com/use-cases/security-compliance"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"}],"install":"npx skills add indranilbanerjee/digital-marketing-pro --skill backlink-gap","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add indranilbanerjee-backlink-gap","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"backlink-gap\" agent skill from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"indranilbanerjee-backlink-gap\",\"task\":\"Install backlink-gap\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"backlink-gap\" as a Claude Code skill from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"indranilbanerjee-backlink-gap\",\"task\":\"Install backlink-gap\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"backlink-gap\" from https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Find referring domains that link to your competitors but not to you, ranked by an outreach-priority score (0.40 DR + 0.25 link-overlap + 0.20 traffic + 0.15 topical relevance) — outputs a four-gate quality scorecard, a 30-prospect outreach shortlist, broken-link candidates, and pre-filled outreach templates. Triggers on \\\"/digital-marketing-pro:backlink-gap\\\", \\\"where are competitors getting links we aren't\\\", \\\"plan a link-building campaign\\\", \\\"quarterly backlink audit\\\", \\\"first 50 link targets for a new client\\\". Consumes backlink CSV exports from the brand's connected backlink MCP, runs scripts/backlink_gap.py, reads the brand profile for DR thresholds and voice, and hands off to /digital-marketing-pro:digital-pr and /digital-marketing-pro:pr-pitch. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"indranilbanerjee-backlink-gap\",\"task\":\"Install backlink-gap\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap","github_repo":"indranilbanerjee/digital-marketing-pro","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/indranilbanerjee-backlink-gap","repository":"https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/backlink-gap","api":"/api/agent/skills/indranilbanerjee-backlink-gap","install_api":"/api/skills/indranilbanerjee-backlink-gap/install"},"meta":{"created_at":"2026-09-02T18:42:14.387792+00:00","updated_at":"2026-09-02T18:42:14.640746+00:00","agent_friendly":true}}