一键导入
slop-check
Measure AI slop score (0-10) in reports. Used by triager-sim/reporter. Matches "slop", "AI detection", "ai detection", "template language"
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Measure AI slop score (0-10) in reports. Used by triager-sim/reporter. Matches "slop", "AI detection", "ai detection", "template language"
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Start Bug Bounty target analysis pipeline. Auto-matches "bounty", "target analysis", "find vulns", "bug hunting", "Immunefi", "Bugcrowd", "H1"
Validate agent checkpoint.json. Detect idle, fake completion, error recovery. Matches "checkpoint", "idle", "agent status"
Use when firmware binary analysis, attack surface mapping, or endpoint discovery is needed for a target
Start CTF challenge solving pipeline. Auto-matches "ctf", "solve challenge", "pwn", "reversing", "crypto challenge", "wargame"
Check endpoint_map.md coverage at Phase 1→2 transition. Blocks Phase 2 if below 80%. Matches "coverage check", "endpoint coverage", "Phase 2 gate"
Pre-check if a Bug Bounty finding is Out-of-Scope. Auto-triggered at Phase 0 (full scan) and Phase 1 (per-finding). Matches "OOS", "out of scope", "exclusion check"
| name | slop-check |
| description | Measure AI slop score (0-10) in reports. Used by triager-sim/reporter. Matches "slop", "AI detection", "ai detection", "template language" |
| user-invocable | true |
| argument-hint | <report-file-path> |
| allowed-tools | ["Read","Bash","Grep"] |
Measures AI slop score on 0-10 scale. AI-generated reports are a problem in 40%+ of submissions — triagers actively detect them.
$ARGUMENTS: report file path| Score | Verdict | Action |
|---|---|---|
| 0-2 | PASS | Ready for submission |
| 3-5 | STRENGTHEN | Rewrite required — remove slop patterns, re-check |
| 6-10 | KILL | Submission forbidden — full rewrite or delete finding |
The `pg_list_all_subscriptions()` function returns the `conninfo` field
containing plaintext credentials for cross-owner subscriptions.
Tested on Aiven PostgreSQL 14.9 (plan hobbyist):
SELECT subname, subconninfo FROM pg_subscription;
→ subconninfo = 'host=xxx password=s3cret_value'
Impact: Any database user with pg_read_all_stats can read connection
passwords of subscriptions owned by other users.
It is important to note that this comprehensive vulnerability leverages
a robust attack vector. Furthermore, the holistic impact potentially
facilitates unauthorized access to sensitive data. Subsequently, this
could lead to significant security implications. It should be noted
that the vulnerability seamlessly enables privilege escalation.
Read $ARGUMENTS
Template language (+0.5 each):
!grep -ciE "It is important to note|comprehensive|robust|Furthermore|In conclusion|It should be noted|leveraging|utilizing|In summary|As mentioned|It is worth noting|It is crucial|seamlessly|facilitate|Subsequently|Consequently|Notably|Specifically|Importantly|holistic|paradigm|synergy|delve into|multifaceted" "$ARGUMENTS" 2>/dev/null || echo "0"
Uncertain language (+0.5 each):
!grep -ciE "should work|probably|most likely|presumably|seems to|appears to|it is believed|potentially|theoretically|could potentially|might potentially" "$ARGUMENTS" 2>/dev/null || echo "0"
Missing specific evidence (+2):
Target-specific details (-1 each):
Structure differentiation (-0.5):
score = 0
score += template_language_count * 0.5
score += uncertain_language_count * 0.5
score += (2 if no_specific_evidence else 0)
score -= target_specific_details * 1.0
score -= (0.5 if structure_differentiated else 0)
score = clamp(score, 0, 10)
!python3 -c " import sys; sys.path.insert(0, '/home/rootk1m/01_CYAI_Lab/01_Projects/Terminator') from tools.validation_prompts import check_ai_slop with open('$ARGUMENTS') as f: text = f.read() result = check_ai_slop(text) print(f'validation_prompts score: {result}') " 2>/dev/null || echo "validation_prompts.py unavailable — manual scoring only"
[SLOP-CHECK] File: <path>
[SLOP-CHECK] Template language instances: N
[SLOP-CHECK] Uncertain language instances: N
[SLOP-CHECK] Specific evidence present: YES/NO
[SLOP-CHECK] Target-specific details: N
[SLOP-CHECK] Score: X/10
[SLOP-CHECK] Result: PASS (<=2) / STRENGTHEN (3-5) / KILL (6+)
[SLOP-CHECK] Fix suggestions: <specific fix suggestions>
REMINDER: KILL = delete or full rewrite. triager-sim uses this score for SUBMIT/STRENGTHEN/KILL verdict.