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 Encod3d-Sec/TORCH --skill wiki-recongit clone --depth 1 https://github.com/Encod3d-Sec/TORCHWrote 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/encod3d-sec/torch/wiki-recon)<a href="https://agentmods.dev/skills/encod3d-sec/torch/wiki-recon"><img src="https://agentmods.dev/badge/skills/encod3d-sec/torch/wiki-recon/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/encod3d-sec/torch/wiki-recon"><img src="https://agentmods.dev/badge/skills/encod3d-sec/torch/wiki-recon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 76 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00051 | $0.01535 |
| Opus 5 | $0.00026 | $0.00767 |
| Sonnet 5 | $0.00010 | $0.00307 |
| Haiku 4.5 | $0.00005 | $0.00153 |
Grade A, and why
wiki-recon scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Tool-first: `subfinder`/`assetfinder` for subdomains, `httpx` for live-host probing, `katana`/`gau` for URLs, `ffuf` for content discovery, `nuclei` for templated checks. The crt.sh `curl` below is the one hand request k How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wiki-Recon: External Recon Pipeline
Phase 0: Wiki Query (MANDATORY)
qmd_query "recon subdomain enumeration" via wiki-search MCP -> read matching pages.
qmd_query "OSINT external attack surface" -> apply known techniques.
If no matching page: proceed. Do not block on missing wiki coverage. Dorks to find exposed/vulnerable assets: wiki/cheatsheets/recon-dorks.md; attack paths once in: wiki/cheatsheets/attack-chains.md.
Scope Check
- Confirm target domain(s) are in scope
- Read Attack-surface.md - skip hosts already fully documented
- Read Deadends.md - skip recon paths already exhausted
Recon Pipeline
Tool-first: subfinder/assetfinder for subdomains, httpx for live-host probing, katana/gau for URLs, ffuf for content discovery, nuclei for templated checks. The crt.sh curl below is the one hand request kept (a passive source with no tool wrapper); everywhere else lean on the tool, not a curl loop.
Stage 1: Subdomain Discovery
TARGET="target.com"
RECON_DIR="poc/recon/$TARGET"
mkdir -p $RECON_DIR
# Passive sources
curl -s "https://crt.sh/?q=%.${TARGET}&output=json" \
| jq -r '.[].name_value' | sed 's/\*\.//g' | sort -u > $RECON_DIR/subs.txt
subfinder -d $TARGET -silent | tee -a $RECON_DIR/subs.txt
assetfinder --subs-only $TARGET | tee -a $RECON_DIR/subs.txt
sort -u $RECON_DIR/subs.txt -o $RECON_DIR/subs.txt
Stage 2: Live Host Discovery
cat $RECON_DIR/subs.txt | dnsx -silent | \
httpx -silent -status-code -title -tech-detect | tee $RECON_DIR/live.txt
On any TLS host from Stage 2, dump the cert SANs early; a hidden vhost none of the above discovers can be listed only in the Subject Alternative Name, see [[cdn-waf-bypass]].
Stage 3: URL Crawl + Historical
cat $RECON_DIR/live.txt | awk '{print $1}' | \
katana -d 3 -jc -kf all -silent | tee $RECON_DIR/urls.txt
echo $TARGET | waybackurls | tee -a $RECON_DIR/urls.txt
gau $TARGET --subs | tee -a $RECON_DIR/urls.txt
sort -u $RECON_DIR/urls.txt -o $RECON_DIR/urls.txt
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.
- 9d ago First seen · 113 lines · 51 tokens per session scan A 50db2e198155
wiki-recon is a skill published in the GitHub repository Encod3d-Sec/TORCH (318 stars, last pushed 7d ago), licensed MIT. It adds 51 tokens to every session and 1,535 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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