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 snyk/saw-mcp --skill saw-api-target-configurationgit clone --depth 1 https://github.com/snyk/saw-mcpWrote 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/snyk/saw-mcp/saw-api-target-configuration)<a href="https://agentmods.dev/skills/snyk/saw-mcp/saw-api-target-configuration"><img src="https://agentmods.dev/badge/skills/snyk/saw-mcp/saw-api-target-configuration/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/snyk/saw-mcp/saw-api-target-configuration"><img src="https://agentmods.dev/badge/skills/snyk/saw-mcp/saw-api-target-configuration.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 | $0.00069 | $0.02691 |
| Opus 5 | $0.00034 | $0.01345 |
| Sonnet 5 | $0.00014 | $0.00538 |
| Haiku 4.5 | $0.00007 | $0.00269 |
Grade A, and why
saw-api-target-configuration 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 10d 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 — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
API Target Configuration Skill (Snyk API & Web)
Configure API targets for Snyk API & Web security scanning. For web application targets with authentication, use the saw-web-target-configuration skill instead.
When you finish adding/configuring a target, always summarize it with a table, and include a link to the target on Snyk API & Web. Use the Snyk API & Web app URL https://plus.probely.app. Include a column if you added extra hosts or not and in case you did, which ones.
Credentials Management — Recommended (Used by Default)
Use the credential manager for sensitive values (API keys, Bearer tokens, Basic Auth passwords, etc.) by default. Store values via probely_create_credential with is_sensitive=True and use the returned uri (e.g. credentials://xxxx) in the API. If the user explicitly declines, inline values are allowed.
Non-sensitive values (non-secret header names, environment labels) can be passed inline.
Shared Credentials Across Multiple Targets
When configuring multiple targets that use the same credentials, the credential may already exist in the credential manager from a previous target. Since sensitive (obfuscated) values cannot be read back, the agent cannot verify whether it matches — this causes a new credential entry per target, polluting the credential manager.
Rule: When multiple targets share the same credential and it already exists with is_sensitive=True, prompt the user to deobfuscate it (update to is_sensitive=False via probely_update_credential) so it can be read back and reused across targets. Inform the user why deobfuscation is needed.
Workflow for shared credentials:
- Create the credential normally with
is_sensitive=Truefor the first target. - When a subsequent target needs the same credential, find the existing one via
probely_list_credentials. - If the existing credential is sensitive (is_sensitive=true), prompt the user: "The credential '' is obfuscated. To reuse it across multiple targets, it needs to be deobfuscated. Would you like to proceed?"
- If the user agrees, update it:
probely_update_credential(credentialId, is_sensitive=False). - Reuse the same credential
urifor the new target.
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.
- 10d ago First seen · 244 lines · 69 tokens per session scan A 819b65a58e01
saw-api-target-configuration is a skill published in the GitHub repository snyk/saw-mcp (8 stars, last pushed yesterday), licensed Apache-2.0. It adds 69 tokens to every session and 2,691 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 2026-08-31.
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