LeeYudok
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security-precheck
Self-run security pre-check ahead of an external security-team code audit. Runs the security-audit agent (plus SonarQube security hotspots when configured), grades findings P0/P1/P2, splits them into issues, and fixes them with parallel subagents. Use on "security check", "securi
Übersicht
Self-run security pre-check ahead of an external security-team code audit. Runs the security-audit agent (plus SonarQube security hotspots when configured), grades findings P0/P1/P2, splits them into issues, and fixes them with parallel subagents. Use on "security check", "security audit prep", "code audit" requests.
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Security Pre-check (before an external audit)
Sweep the codebase with the same criteria an external security team would use, and fix findings ahead of time.
1. Scan (parallel)
Run concurrently:
Agent(subagent_type: "security-audit") — grep-based scan of the 12 P0 code items
(hardcoded secrets, missing auth, PII logging, ...) + 8 agent-config items
(.claude/ hooks, MCP, permissions, prompt injection)
# SonarQube security hotspots (TO_REVIEW only) — skip this step with a note if the
# project has no sonar-project.properties. Never hardcode the host or token:
# use $SONAR_HOST_URL / $SONAR_TOKEN from the environment.
if [ -f sonar-project.properties ]; then
key=$(grep 'sonar.projectKey' sonar-project.properties | cut -d= -f2-)
curl -s -u "${SONAR_TOKEN}:" \
"${SONAR_HOST_URL}/api/hotspots/search?projectKey=$key&status=TO_REVIEW&ps=500" \
| python3 -c "import sys,json; d=json.load(sys.stdin); print('TO_REVIEW:', len(d['hotspots'])); [print(h['ruleKey'], h['component'], h.get('line','')) for h in d['hotspots']]"
fi
The security-audit agent produces better results when its prompt names this project's concrete context (auth mechanism, session handling, CORS config, data-access layer, PII fields). Don't describe these from memory — at run time, grep the repo for its auth/session/CORS/data-access entry points and include what you actually find.
2. Grading + report
- P0 (critical): escalate immediately. Hardcoded secrets, auth bypass, SQL injection,
.envleaked into git, etc. - P1 (recommended fix): this skill's main target. Missing rate limits, missing cookie attributes, missing constant-time comparison, overly broad permission allows, PII logging, etc.
- Pass: also list items that were checked and found clean (what was checked is the evidence of coverage).
Report as a table: P0 N / P1 N / pass N.
3. Issue registration (P1 and up, skip trivia)
Group findings by file/topic into one issue each — no issue-per-finding spam. Example: three findings in the same auth controller (rate limit, cookie attributes, constant-time comparison) become one issue.
# forge CLI per rules/forge.md
gh issue create -t "<title>" -b "<pre-check background + concrete findings + files>" # GitHub
glab issue create -t "<title>" -d "<pre-check background + concrete findings + files>" -y # GitLab
Local-settings fixes (.claude/settings.local.json allow-list trimming, MCP permission
review, ...) are handled directly without an issue — local-scope config, not P1 workflow
material.
4. Parallel fixing (model tiers)
Split issues by nature and invoke Agent concurrently. Issues touching the same file
go to a single agent — splitting them causes concurrent-edit conflicts on that file.
| Work type | subagent_type | model |
|---|---|---|
| Backend changes involving security judgment (auth/crypto/session) | sdlc-developer | opus |
| General implementation (logging/validation/config) | sdlc-developer | sonnet |
| Investigate-only review (keep if justified, fix if not) | general-purpose | haiku |
Every Agent call needs isolation: "worktree" (prevents parallel edit conflicts). Tell
each agent to create a branch and commit only — no push, no merge; the parent session
gates merges sequentially (multiple worktrees hitting main concurrently is a race).
5. Sequential merge + close
As each agent completes:
- For security/auth changes, read the diff yourself (constant-time comparison approach, session key choice, rate-limit scope, ... — if these are wrong, the pre-check was pointless)
git pull && git merge <branch> --no-edit- Re-run the project's build/test gates on the merged state (the stack gates in
.claude/hooks/pre-commit.share the reference) git pushgit worktree remove <path> --force && git branch -d <branch>- Note + close the issue per the forge convention (
rules/forge.md)
6. Memory record
Write .claude/memory/project_security-precheck.md with the date, finding counts,
issue numbers handled, and accepted risks (e.g. rate-limit keying may be inaccurate
behind a proxy; a specific MCP allow kept with rationale) — so the next pre-check does
not re-litigate items already reviewed and consciously kept.
Learned warnings
- Keying a rate limit/lockout on the raw client address alone (
request.getRemoteAddr()or equivalent) collapses to the proxy IP behind a reverse proxy, turning it into a global lock — verify whether the deployment topology requiresX-Forwarded-Forparsing during review. - Worktrees start without installed dependencies (
node_modules, venv, ...), so frontend/build gates can fail environmentally — for backend-only changes a symlink workaround is fine (never commit it); if the issue touches frontend code, tell the agent to run the package install (lockfile-frozen) in its worktree first. - MCP permissions (
mcp__*) are granted per tool — "read-only only" granularity is not possible. If a tool is genuinely needed, don't force-remove it; record the rationale in memory and keep it.
Dateimetadaten
name: security-precheck description: Self-run security pre-check ahead of an external security-team code audit. Runs the security-audit agent (plus SonarQube security hotspots when configured), grades findings P0/P1/P2, splits them into issues, and fixes them with parallel subagents. Use on "security check", "security audit prep", "code audit" requests. user-invocable: true allowed-tools: Bash, Agent, Read, Edit, Write
Originaltext anzeigen
---
name: security-precheck
description: Self-run security pre-check ahead of an external security-team code audit. Runs the security-audit agent (plus SonarQube security hotspots when configured), grades findings P0/P1/P2, splits them into issues, and fixes them with parallel subagents. Use on "security check", "security audit prep", "code audit" requests.
user-invocable: true
allowed-tools: Bash, Agent, Read, Edit, Write
---
# Security Pre-check (before an external audit)
Sweep the codebase with the same criteria an external security team would use, and fix
findings ahead of time.
## 1. Scan (parallel)
Run concurrently:
```
Agent(subagent_type: "security-audit") — grep-based scan of the 12 P0 code items
(hardcoded secrets, missing auth, PII logging, ...) + 8 agent-config items
(.claude/ hooks, MCP, permissions, prompt injection)
```
```bash
# SonarQube security hotspots (TO_REVIEW only) — skip this step with a note if the
# project has no sonar-project.properties. Never hardcode the host or token:
# use $SONAR_HOST_URL / $SONAR_TOKEN from the environment.
if [ -f sonar-project.properties ]; then
key=$(grep 'sonar.projectKey' sonar-project.properties | cut -d= -f2-)
curl -s -u "${SONAR_TOKEN}:" \
"${SONAR_HOST_URL}/api/hotspots/search?projectKey=$key&status=TO_REVIEW&ps=500" \
| python3 -c "import sys,json; d=json.load(sys.stdin); print('TO_REVIEW:', len(d['hotspots'])); [print(h['ruleKey'], h['component'], h.get('line','')) for h in d['hotspots']]"
fi
```
The security-audit agent produces better results when its prompt names this project's
concrete context (auth mechanism, session handling, CORS config, data-access layer,
PII fields). Don't describe these from memory — at run time, grep the repo for its
auth/session/CORS/data-access entry points and include what you actually find.
## 2. Grading + report
- **P0 (critical)**: escalate immediately. Hardcoded secrets, auth bypass, SQL injection, `.env` leaked into git, etc.
- **P1 (recommended fix)**: this skill's main target. Missing rate limits, missing cookie attributes, missing constant-time comparison, overly broad permission allows, PII logging, etc.
- **Pass**: also list items that were checked and found clean (what was checked is the evidence of coverage).
Report as a table: `P0 N / P1 N / pass N`.
## 3. Issue registration (P1 and up, skip trivia)
Group findings by file/topic into one issue each — no issue-per-finding spam.
Example: three findings in the same auth controller (rate limit, cookie attributes,
constant-time comparison) become one issue.
```bash
# forge CLI per rules/forge.md
gh issue create -t "<title>" -b "<pre-check background + concrete findings + files>" # GitHub
glab issue create -t "<title>" -d "<pre-check background + concrete findings + files>" -y # GitLab
```
Local-settings fixes (`.claude/settings.local.json` allow-list trimming, MCP permission
review, ...) are handled directly without an issue — local-scope config, not P1 workflow
material.
## 4. Parallel fixing (model tiers)
Split issues by nature and invoke `Agent` concurrently. **Issues touching the same file
go to a single agent** — splitting them causes concurrent-edit conflicts on that file.
| Work type | subagent_type | model |
|---|---|---|
| Backend changes involving security judgment (auth/crypto/session) | sdlc-developer | opus |
| General implementation (logging/validation/config) | sdlc-developer | sonnet |
| Investigate-only review (keep if justified, fix if not) | general-purpose | haiku |
Every Agent call needs `isolation: "worktree"` (prevents parallel edit conflicts). Tell
each agent to create a branch and **commit only — no push, no merge**; the parent session
gates merges sequentially (multiple worktrees hitting main concurrently is a race).
## 5. Sequential merge + close
As each agent completes:
1. For security/auth changes, read the diff yourself (constant-time comparison approach, session key choice, rate-limit scope, ... — if these are wrong, the pre-check was pointless)
2. `git pull && git merge <branch> --no-edit`
3. Re-run the project's build/test gates on the merged state (the stack gates in `.claude/hooks/pre-commit.sh` are the reference)
4. `git push`
5. `git worktree remove <path> --force && git branch -d <branch>`
6. Note + close the issue per the forge convention (`rules/forge.md`)
## 6. Memory record
Write `.claude/memory/project_security-precheck.md` with the date, finding counts,
issue numbers handled, and **accepted risks** (e.g. rate-limit keying may be inaccurate
behind a proxy; a specific MCP allow kept with rationale) — so the next pre-check does
not re-litigate items already reviewed and consciously kept.
## Learned warnings
- Keying a rate limit/lockout on the raw client address alone (`request.getRemoteAddr()`
or equivalent) collapses to the proxy IP behind a reverse proxy, turning it into a
global lock — verify whether the deployment topology requires `X-Forwarded-For`
parsing during review.
- Worktrees start without installed dependencies (`node_modules`, venv, ...), so
frontend/build gates can fail environmentally — for backend-only changes a symlink
workaround is fine (never commit it); if the issue touches frontend code, tell the
agent to run the package install (lockfile-frozen) in its worktree first.
- MCP permissions (`mcp__*`) are granted per tool — "read-only only" granularity is not
possible. If a tool is genuinely needed, don't force-remove it; record the rationale
in memory and keep it.
Quelle prüfen
Preis und Betriebskosten
- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- MIT
- Preis unbestätigt
- Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.
Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →
Quelle erneut prüfen
Die Quelle wurde geändert oder konnte nicht synchronisiert werden. Vor der Installation prüfen.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The skill references external files (rules/forge.md, .claude/hooks/pre-commit.sh) that are not included in the skill directory, but they are part of the repository and expected to exist.
- The skill assumes a specific environment (Claude Code with subagents, worktrees, gh/glab CLIs, curl, python3) without explicitly listing prerequisites.
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 25 GitHub stars
- Stars/forks activity: 25 stars, 4 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Erfasst
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- LeeYudok/agents-scaffold
- Lizenz
- MIT
- Version
- Unknown
- Letzter GitHub-Push
- 29. Aug. 2026
- Verzeichnis aktualisiert
- 15. Sept. 2026
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
57/100
Vielversprechend
Vertrauen
53/100
Do not auto-install
Audit
68/100
Prüfung nötig
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The skill references external files (rules/forge.md, .claude/hooks/pre-commit.sh) that are not included in the skill directory, but they are part of the repository and expected to exist.
- The skill assumes a specific environment (Claude Code with subagents, worktrees, gh/glab CLIs, curl, python3) without explicitly listing prerequisites.
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 25 GitHub stars
- Stars/forks activity: 25 stars, 4 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Verified installs
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
Agent-Zugang
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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"reviewed_at": "2026-09-12T15:26:03.150Z",
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"name": "security-precheck",
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"notice": "The tracked source changed or could not be synchronized. Review the current source before installing."
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"ready": false,
"targets": [
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},
{
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}
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"trust": {
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"version": "trust-score-v4",
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"repoActivity": "25 stars, 4 forks",
"lastPushed": "1mo since push",
"license": "MIT",
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"install": "The tracked source changed or could not be synchronized. Review the current source before installing.",
"installSafety": "standard package or runtime install path",
"permissionSurface": "secrets or environment access, shell or command execution",
"documentation": "Strong README/SKILL.md context",
"agentOutcomes": "No agent outcome data yet"
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"success_rate": null,
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"risk_blocked": 0,
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"production_outcomes": 0,
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"label": "No agent outcome data yet"
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"Financial research output is not financial advice; require human review before any live investment decision.",
"Low GitHub adoption signal",
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"Permission surface needs review: secrets or environment access, shell or command execution",
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"recentFailureRate": null,
"riskBlocked": 0,
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"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
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"signals": [],
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]
},
"audit": {
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"Financial research output is not financial advice; require human review before any live investment decision",
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"The skill assumes a specific environment (Claude Code with subagents, worktrees, gh/glab CLIs, curl, python3) without explicitly listing prerequisites.",
"Low GitHub adoption signal",
"Financial research output is not financial advice; require human review before any live investment decision.",
"Quality score needs review"
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"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision"
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"Audit: 68/100 Needs review",
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],
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"method": "POST",
"requires_resolve_event_id": true,
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"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
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"skill_slug": "leeyudok-security-precheck",
"task": "Use security-precheck in an agent workflow",
"agent": "codex",
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"install_used": true,
"risk_blocked": false,
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"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."
}
},
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"api": "https://www.openagentskill.com/api/agent/skills/leeyudok-security-precheck",
"audit": "https://www.openagentskill.com/skills/leeyudok-security-precheck/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=leeyudok-security-precheck&task=Use%20security-precheck%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20security-precheck%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20security-precheck%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/leeyudok-security-precheck/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/leeyudok-security-precheck"
}
}Für Ersteller
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- LeeYudok
- Quelle
- LeeYudok/agents-scaffold
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird LeeYudok zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Share-Kit
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](https://www.openagentskill.com/skills/leeyudok-security-precheck?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/leeyudok-security-precheck?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/leeyudok-security-precheck/audit)
[](https://www.openagentskill.com/skills/leeyudok-security-precheck?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.