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 ByamB4/find-cve-agent --skill target-recongit clone --depth 1 https://github.com/ByamB4/find-cve-agentWrote 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/byamb4/find-cve-agent/target-recon)<a href="https://agentmods.dev/skills/byamb4/find-cve-agent/target-recon"><img src="https://agentmods.dev/badge/skills/byamb4/find-cve-agent/target-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/byamb4/find-cve-agent/target-recon"><img src="https://agentmods.dev/badge/skills/byamb4/find-cve-agent/target-recon.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 | $0.00031 | $0.01182 |
| Opus 5 | $0.00015 | $0.00591 |
| Sonnet 5 | $0.00006 | $0.00236 |
| Haiku 4.5 | $0.00003 | $0.00118 |
Grade A, and why
target-recon scanned grade A with 0 findings 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 11d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Target Recon -- Finding High-Quality Audit Targets
When to Use
Starting a new research cycle. Need fresh targets with high CVE potential but low existing researcher attention.
Target Sweet Spot
The ideal target is a package that:
- Is widely used (>100K weekly downloads on npm)
- Handles untrusted input (parsing, validation, file processing)
- Is small enough to audit in a day (< 10K lines of code)
- Has few existing CVEs (< 5)
- Is actively maintained (last commit within 6 months)
- Has 500-15K GitHub stars
Avoid
- Mega-packages (lodash, axios, moment, express, django, rails) -- too many researchers
- Full frameworks (Next.js, Nuxt, Laravel) -- too large, too audited
- >20K stars AND >10 prior CVEs -- over-audited territory
- Abandoned packages (no commits in 2+ years) -- CVE may not be assigned
- Alpha/beta packages -- maintainer may not issue CVE
Search Strategies
npm Search
# Search by category
npm search xml parser
npm search csv parse
npm search template engine
npm search file upload
npm search schema validator
# Check weekly downloads on npmjs.com
# Look for packages with 100K-10M weekly downloads
GitHub Search
# Search repos by language and star count
gh search repos "xml parser" --language javascript --stars 500..15000
gh search repos "yaml" --language python --stars 500..10000
gh search repos "template engine" --language javascript --stars 500..15000
gh search repos "archive extract" --language go --stars 500..10000
grep.app (Cross-Repo Code Search)
Search for vulnerable patterns across many repos:
https://grep.app/search?q=new%20Function®exp=false&filter[lang][0]=JavaScript
https://grep.app/search?q=eval%28®exp=false&filter[lang][0]=JavaScript
Libraries.io
Check dependency counts -- packages depended on by many other packages have higher impact.
Category-Based Targeting
Highest Yield Categories
| Category | Vulnerability Classes | Example Packages |
|---|---|---|
| Parsing (XML/CSV/YAML) | Entity expansion, ReDoS, clobbering | fast-xml-parser, csv-parse, js-yaml |
| Validation/Schema | Code injection, ReDoS, proto pollution | ajv, joi, fastest-validator |
| Template Engines | SSTI, code injection | ejs, nunjucks, handlebars, pug |
| Archive/Compression | Zip Slip, decompression bomb, path traversal | adm-zip, decompress, fflate |
| File Handling | Path traversal, symlink attacks | express-fileupload, formidable |
| Deep Merge/Clone | Proto pollution, recursion DoS | deepmerge, rfdc, klona |
| Expression Evaluators | Sandbox escape, code injection | simpleeval, expr-eval, filtrex |
| HTTP Clients | SSRF, header injection, auth leak | got, superagent, needle |
| Serialization | Clobbering, code injection, recursion | flatted, superjson, msgpackr |
| URL/Path Utilities | SSRF bypass, path traversal | url-parse, normalize-url |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 140 lines · 31 tokens per session scan A 1f063daec870
target-recon is a skill published in the GitHub repository ByamB4/find-cve-agent (48 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 1,182 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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