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 jamditis/claude-skills-journalism --skill secure-authgit clone --depth 1 https://github.com/jamditis/claude-skills-journalismWrote 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/jamditis/claude-skills-journalism/secure-auth)<a href="https://agentmods.dev/skills/jamditis/claude-skills-journalism/secure-auth"><img src="https://agentmods.dev/badge/skills/jamditis/claude-skills-journalism/secure-auth/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/jamditis/claude-skills-journalism/secure-auth"><img src="https://agentmods.dev/badge/skills/jamditis/claude-skills-journalism/secure-auth.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, 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 622 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.
- high Privilege Escalation · line 762 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.
- high Prompt Injection · line 887 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high Privilege Escalation · line 530 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.
- high Privilege Escalation · line 665 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.
- medium Data Exfiltration · line 209 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium MCP Rug Pull · line 879 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00033 | $0.13700 |
| Opus 5 | $0.00016 | $0.06850 |
| Sonnet 5 | $0.00007 | $0.02740 |
| Haiku 4.5 | $0.00003 | $0.01370 |
Grade A, and why
secure-auth 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 5d 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.
const response = await fetch(url, { How it starts
The opening of the file, as written. The whole thing — 1,481 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Secure authentication
Step 0: Research the current security landscape (do this first)
Security knowledge ages on a 6-12 month half-life. The recipes below were last verified on 2026-05-08; they may be stale by the time you read this. Before applying any pattern in this skill, fan out research scoped to the authentication primitive being implemented (passwords, sessions, JWT, OAuth, MFA, passkeys) so the recipes are interpreted against current authoritative sources, not against this file's snapshot.
Default-on, with a documented skip
Run the 4-angle research below by default. Skip ONLY when ALL of these hold:
- (a) You ran this same skill on this same primitive within the last 4 hours of the current session,
- (b) That prior research surfaced no urgent advisories for the authentication primitive being implemented (passwords, sessions, JWT, OAuth, MFA, passkeys),
- (c) You log a one-line
Research skipped because <reason>note in your response.
"I think I know" / "moving fast" / "user wants this done quickly" / "already familiar" are NOT valid skip reasons. The whole point of this preamble is that future-you should not trust this skill body's defaults until current state is checked.
Fan out 4 subagents in parallel
Each subagent returns at most 300 words of bullets with citations. Dispatch all 4 in a single message so they run concurrently.
Angle 1, Authoritative standards. Have NIST / OWASP / IETF (RFCs and Internet-Drafts) / W3C / CISA published anything new about the authentication primitive being implemented (passwords, sessions, JWT, OAuth, MFA, passkeys) in the last 6-12 months? Look for: spec finalizations, deprecations, replacement specs, RFC publications, draft revisions, NIST SP updates, OWASP project version bumps. Cite by document number plus publication date.
Angle 2, Active exploitation. What's actively being exploited that targets the authentication primitive being implemented (passwords, sessions, JWT, OAuth, MFA, passkeys)? Pull from: CISA Known Exploited Vulnerabilities (KEV) catalog (filter to last 6-12 months), recent CVE / GHSA entries with high CVSS or in-the-wild exploitation, breach postmortems and incident reports (CSRB, vendor RCAs, security-vendor research). Surface CWE patterns dominating recent KEV adds. Cite by CVE number plus advisory URL.
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.
- 5d ago First seen · 1,481 lines · 33 tokens per session scan A 2c61e8a4e32a
secure-auth is a skill published in the GitHub repository jamditis/claude-skills-journalism (389 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 13,700 once invoked, about $0.0002 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 2026-09-05.
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