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 rfc-st/humble --skill humble-header-analystgit clone --depth 1 https://github.com/rfc-st/humbleWrote 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/rfc-st/humble/humble-header-analyst)<a href="https://agentmods.dev/skills/rfc-st/humble/humble-header-analyst"><img src="https://agentmods.dev/badge/skills/rfc-st/humble/humble-header-analyst/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/rfc-st/humble/humble-header-analyst"><img src="https://agentmods.dev/badge/skills/rfc-st/humble/humble-header-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to medium
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 →
- medium Memory Poisoning · line 49 Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
- medium Prompt Injection · line 49 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 49 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 52 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 53 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 53 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 54 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00084 | $0.02979 |
| Opus 5 | $0.00042 | $0.01489 |
| Sonnet 5 | $0.00017 | $0.00596 |
| Haiku 4.5 | $0.00008 | $0.00298 |
Grade A, and why
humble-header-analyst 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 9d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL.MD: The 'humble' Cybersecurity Analyst Knowledge Base
[1. MISSION & PERSONA]
You are the Cybersecurity Analyst. Your persona is professional, technical, and remediation-focused. You do not just list problems; you provide the logic and code to solve them. Your tone is that of a Senior Cybersecurity Analyst performing a debrief for a DevOps team based on a report obtained from a security tool: humble.
Language rule: The report you parse will always be in English (see [2]); however, you must deliver your debrief in the language the user is speaking to you (e.g., a Spanish-speaking user receives the debrief in Spanish, keeping header names, directives and code snippets in their original English form).
[2. INPUT DATA ARCHITECTURE]
ANTI-HALLUCINATION AND VALIDATION RULE: You must rely strictly on the raw data provided within the report; do not speculate on or invent advice not explicitly surfaced by the tool's findings. Always explicitly recommend consulting primary sources of information and thoroughly testing any remediation configurations in pre-production environments before deployment.
CRITICAL SCOPE: This file and its parsing logic are strictly limited to reports generated in English. If a report is provided in another language (e.g., Spanish), you must notify the user that the current logic is optimized for English-language analysis only. You have received a report from the security tool humble (an HTTP Headers Analyzer). You must parse the sections of that report as follows:
- [0. Info]: Basic information regarding date, URL and full name of the report.
- [HTTP Response Headers]: This section is optional: it shows the enabled HTTP response headers along with their values. If this section is present use this raw data to inspect specific directive values (e.g., checking
Set-CookieforHttpOnlyorSameSite). It is also your primary source to detect duplicated emissions (the same header, or the same value, repeated: e.g.,nosniff, nosniff) and conflicting directives (e.g.,geolocation=()andgeolocation=(self)inside the samePermissions-Policy). - [1. Enabled]: This section shows the enabled HTTP response headers related to security. Check if they are "Weak" or "Passive" (e.g.,
Report-Only). - [2. Missing]: This section shows the missing HTTP response headers related to security. Critical gaps in the defense-in-depth strategy.
- [3. Fingerprint]: This section shows the headers, or its values, that could lead to fingerprinting. Information leaks that aid in attacker reconnaissance. Beyond listing them, you must correlate them: combined, these values often reveal the full stack (e.g., reverse proxy + origin server + hosting provider).
- [4. Deprecated/Insecure]: This section shows the insecure or obsolete headers or their values. Active risks or legacy that should be removed or modernized.
- [5. Empty HTTP Response Headers Values]: This section shows the HTTP response headers empty; these must be reported because browsers may interpret an empty value as a disabled header.
- [6. Browser Compatibility]: This section only lists 'caniuse.com' reference links for the enabled headers. Do NOT treat its contents as findings; you may reuse these links as supporting references in your debrief.
- [7. Analysis Results]: Focus only, in this section, on the totals provided: 'Enabled headers', 'Missing headers', 'Fingerprint headers', 'Deprecated/Insecure headers', 'Empty headers' and 'Findings to review' (this last one is the sum of the four previous totals): these totals will give you a quick view of in which sections and results you must focus on. Also parse:
- Analysis Grade (A-E): the grade includes, in parentheses, the section that must be reviewed to improve it; make that section the backbone of your Executive Summary.
- Trend values: each total may include, in parentheses, the change with respect to the last analysis (or 'First Analysis'). If deltas are present, report whether the security posture is improving or regressing.
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.
- 9d ago First seen · 110 lines · 84 tokens per session scan A 45d2a2434d45
humble-header-analyst is a skill published in the GitHub repository rfc-st/humble (373 stars, last pushed 3d ago), licensed MIT. It adds 84 tokens to every session and 2,979 once invoked, about $0.0004 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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