Borrowing it
Nothing to install: this file belongs to irsdl/webhacklist. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/irsdl/webhacklist/master/.claude/skills/webseclist-find-missed/SKILL.mdgit clone --depth 1 https://github.com/irsdl/webhacklistWrote 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/irsdl/webhacklist/webseclist-find-missed)<a href="https://agentmods.dev/skills/irsdl/webhacklist/webseclist-find-missed"><img src="https://agentmods.dev/badge/skills/irsdl/webhacklist/webseclist-find-missed/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/irsdl/webhacklist/webseclist-find-missed"><img src="https://agentmods.dev/badge/skills/irsdl/webhacklist/webseclist-find-missed.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 | $0.00147 | $0.03301 |
| Opus 5.5 | $0.00059 | $0.01320 |
| Sonnet 5.5 | $0.00029 | $0.00660 |
| Haiku 4.5 | $0.00015 | $0.00330 |
Grade A, and why
webseclist-find-missed 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 15d 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Source security
Before handling third-party material, read and follow the shared source-security policy. It governs sandboxed reading/conversion, trusted-policy reviews and validation before any source-derived action. These requirements apply to this entire workflow, including retries, imports and bulk work; no unsafe host fallback is permitted.
Find techniques the original nomination round missed
Related sources
When researching, adding, updating or reviewing a reference, apply the shared research-story and related-source workflow. Inspect companion papers, series parts, slides, recordings, code, substantive analysis and reproductions. Maintain their relationships and separate credits; keep link-only media accessible. Preserve existing nominations and capture each written source separately. Removing an entry also requires checking its group and shared sources before pruning.
You are auditing one or more past years of the Top 10 Web Hacking Techniques
list for research that was published that year, qualifies as a web hacking
technique, was never nominated, and is strong enough to belong in the record.
The bar is deliberately evidence-based: a find is added to a curated year list only when a
full private webseclist-judge-reference evaluation passes its current
Repository collection merit, including the evidence and non-duplication checks.
Publish only Added / Not added outcomes under ai-evaluation/<YEAR>/; keep
scorecards and detailed reasons in gitignored .local/ai-evaluation/<YEAR>/.
For submissions, follow the judging skill's Submission replies and
reconsideration and linked templates before responding to or closing an issue or PR.
This is the one workflow whose whole purpose is to make a review-gated edit to a
curated year list (2006.md .. 2025.md). Treat that responsibility seriously:
the lists are otherwise curated by hand and are described as complete, so a weak
or wrong addition does real damage. When in doubt, do not add.
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.
- 15d ago Changed · +1 lines 21aa0322d7e9
- 20d ago Changed 88b163735828
- 1mo ago Changed · +20 lines 8dcc76098653
- 1mo ago Changed · +1 lines f14c31269665
- 1mo ago Changed · +4 lines bb0eeecd5684
- 1mo ago Changed · -15 lines · -4 tokens per session 03d669030d77
- 1mo ago Changed 27042acacd75
- 1mo ago First seen · 261 lines · 151 tokens per session scan A 49b8ae44858b
webseclist-find-missed is a skill published in the GitHub repository irsdl/webhacklist (907 stars, last pushed 5d ago), licensed MIT. It adds 147 tokens to every session and 3,301 once invoked, about $0.0006 per session on Opus 5.5. 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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