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 mishahanin/heading-os --skill request-skillgit clone --depth 1 https://github.com/mishahanin/heading-osWrote 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/mishahanin/heading-os/request-skill)<a href="https://agentmods.dev/skills/mishahanin/heading-os/request-skill"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/request-skill/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/mishahanin/heading-os/request-skill"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/request-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Excessive Agency · line 12 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00038 | $0.01232 |
| Opus 5 | $0.00019 | $0.00616 |
| Sonnet 5 | $0.00008 | $0.00246 |
| Haiku 4.5 | $0.00004 | $0.00123 |
Grade A, and why
request-skill 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 8d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Request New Skill
Submit a request for a new skill to be created by the CEO/admin. The request is sent via email to the admin with your description, use case, and workspace context.
Variables
$ARGUMENTS-- Description of the skill needed
Workflow
-
If
$ARGUMENTSis empty or too vague, ask:- "What should the skill do?" (one sentence)
- "Give me an example of when you'd use it" (one scenario)
- "What output do you expect?" (format/action)
-
Read
.workspace-identity.jsonto get the requester's name and role. -
Read
personal/context/personal-info.mdto get the requester's title and email. -
Compose the request email:
Subject: HEADING OS Skill Request from {exec_name} ({exec_title})
Body (HTML):
<h2>New Skill Request</h2>
<p><strong>From:</strong> {exec_name} ({exec_title})</p>
<p><strong>Date:</strong> {today}</p>
<p><strong>Workspace:</strong> {exec_slug}</p>
<h3>Skill Description</h3>
<p>{description from $ARGUMENTS}</p>
<h3>Use Case</h3>
<p>{example scenario}</p>
<h3>Expected Output</h3>
<p>{expected output/action}</p>
<h3>Priority</h3>
<p>{requester's assessment: nice-to-have / would-help-daily / urgent-need}</p>
-
Resolve the recipient from the instance config, never from a literal address:
ADMIN="$(python3 -c "import sys; sys.path.insert(0,'.'); from scripts.utils.operator_identity import admin_email, get_operator; print(admin_email() or get_operator()['email'])")"The value is
admin_emailinoperator.yaml, read through the operator identity seam inscripts/utils/operator_identity.py, falling back toemail.The order matters and is not cosmetic.
emailis whoever runs THIS clone, and this skill runs on an executive's workspace, soemailalone mails the executive their own request.admin_emailis the person who acts on it. On the operator's own workspace the two are the same address and the order never shows.An empty result means neither key is set. Report that, name
admin_email, and send nothing.
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.
- 8d ago First seen · 115 lines · 38 tokens per session scan A 959bc7038f36
request-skill is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed 2d ago), licensed Apache-2.0. It adds 38 tokens to every session and 1,232 once invoked, about $0.0002 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 2026-09-03.
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