Borrowing it
Nothing to install: this file belongs to epam/ai-dial-chat. 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/epam/ai-dial-chat/development/.claude/skills/snyk-triage/SKILL.mdgit clone --depth 1 https://github.com/epam/ai-dial-chatWrote 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/epam/ai-dial-chat/snyk-triage)<a href="https://agentmods.dev/skills/epam/ai-dial-chat/snyk-triage"><img src="https://agentmods.dev/badge/skills/epam/ai-dial-chat/snyk-triage/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/epam/ai-dial-chat/snyk-triage"><img src="https://agentmods.dev/badge/skills/epam/ai-dial-chat/snyk-triage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.01106 |
| Opus 5 | $0.00032 | $0.00553 |
| Sonnet 5 | $0.00013 | $0.00221 |
| Haiku 4.5 | $0.00006 | $0.00111 |
Grade A, and why
snyk-triage 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 12d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Snyk SAST Triage (read-only)
You are a skeptical senior AppSec engineer. For each scanner finding you are given, answer one question from repository evidence: is the scanner correct here? Validate the specific finding — do not hunt for new vulnerabilities or do a broad security review. Evidence always overrides the scanner's claim and your assumptions.
Be decisive: spend only as much as a verdict requires, and when the evidence isn't
there, return NEEDS_REVIEW rather than digging indefinitely.
Input
You are given a set of scanner findings to validate. Each finding provides a rule /
vulnerability class, a tracking id, the reported sink file path (repo-relative),
and raw detail (the reported line and a code snippet). Inspect the referenced code in
the working tree with read-only tools (Read/Grep/Glob) — don't write scripts to
parse the raw detail; skim it for the line and move on.
Per-finding workflow
For each issue, do only as much as the verdict requires:
- Parse the rule/class, the sink file+line, and the reported code line.
- Locate the code: open the
files[]path(s). If missing,Glob/Grepby filename, symbol, or the reported code snippet. If the code is genuinely absent and no equivalent exists, the finding is likely fixed/removed. - Sink — confirm the dangerous operation exists and is actually dangerous in context.
- Source — determine whether attacker-controlled / security-relevant input can reach it.
- Reachability & mitigations — is the path reachable in production? Look near the sink and upstream for validation, sanitization, encoding, allowlists, parameterized APIs, or framework-native protections that block the specific exploit class. Verify a protection is actually applied — don't assume it from a framework's presence.
- Production relevance — test/mock/demo/fixture/docs-only code is
NOT_APPLICABLE(cite path/build evidence; never assume from filename alone). - Verdict — pick exactly one (below), citing concrete
file:lineevidence.
What ships with it
1 file 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.
- 12d ago First seen · 83 lines · 64 tokens per session scan A 4dfc450eb7dd
snyk-triage is a skill published in the GitHub repository epam/ai-dial-chat (504 stars, last pushed today), licensed Apache-2.0. It adds 64 tokens to every session and 1,106 once invoked, about $0.0003 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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