Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mishahanin/heading-osnpx agentmods add skills/mishahanin/heading-os/publish-corporateWrote 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/publish-corporate)<a href="https://agentmods.dev/skills/mishahanin/heading-os/publish-corporate"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/publish-corporate/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/publish-corporate"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/publish-corporate.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 11 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 | $0.00030 | $0.02719 |
| Opus 5 | $0.00015 | $0.01359 |
| Sonnet 5 | $0.00006 | $0.00544 |
| Haiku 4.5 | $0.00003 | $0.00272 |
Grade A, and why
publish-corporate 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Publish Corporate Content
CEO-only skill. Copies corporate-classified content from the DATA overlay (.heading-os-data) to the heading-os-corporate repo for distribution to all executives. Canonical mechanism:
python scripts/publish-corporate.py --preview|--copy|--verify(reads the source from the data overlay, writes to ../heading-os-corporate/). Execs pull with plaingit pull— there is no scheduled sync.
Prerequisites
- Read
.workspace-identity.json- verify role is "admin". If not, say "This skill is CEO-only." and stop. - Verify the corporate repo exists at the parent directory:
../heading-os-corporate/. If not, say "Corporate repo not found. Run initial setup first." and stop.
Variables
$ARGUMENTS- Description of what to publish (e.g., "Updated strategy for Q2", "New competitor-intel skill", "Updated a competing vendor competitive document")
Workflow
Step 1: Identify Files
Read $ARGUMENTS and identify which files in the DATA overlay (.heading-os-data) belong in the corporate repo. The overlay is the publish source: publish-corporate.py sets SOURCE_ROOT = get_data_root(), and every corporate-classified path lives there rather than in the engine clone.
Classification-driven publishing: classification resolves from config/routing-map.yaml (the single input; classification.json was removed in HEADING OS step 7). Post-cutover (step 8, 2026-06-14) publish ships ONLY files whose three-value routing destination is corporate — content, not code. Engine code is NOT published here; execs receive it by cloning the engine repo (.heading-os). The corporate set is content-only: datastore/, knowledge/shared/, the two context/ carve-outs, crm/ config/aliases/address-book, corporate/ daemon config. Use python scripts/classification-health.py --corporate-only to list it.
A file named in $ARGUMENTS may be classified ceo-only today, which routes private. Warn the CEO, and ask whether to reclassify it before publishing by adding a rule to config/routing-map.yaml.
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 · 201 lines · 30 tokens per session scan A c4c7c523e09a
publish-corporate is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed 3d ago), licensed Apache-2.0. It adds 30 tokens to every session and 2,719 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.
Other skills, from other repositories
publish-site
Versioned site deploys to GitHub/Cloudflare/Netlify Pages.
github
GitHub via gh CLI: PRs, issues, reviews, repos, auth.
taiyi-integration
A project workflow skill for closing a TaiyiForge change and recording it in a CHANGELOG.md file. It checks review results, tests, and the state of the working tree before archiving the change.
no-mistakes
Validate committed feature-branch changes through the no-mistakes pipeline: intent, rebase, review, test, docs, lint, push, PR, and CI. Use when the user asks to run no-mistakes, ship safely, validate before pushing, or gate a change before it reaches upstream.
release-management
Automates GitHub releases with semantic versioning, changelog generation from merged PRs, and gh CLI integration. Supports draft, prerelease, and standard release workflows with task-tracked multi-phase execution. Use when creating releases, tagging versions, or publishing changelogs.
release-sync
Syncs latest release content to NotebookLM and HQ Knowledge Base after version tagging. Reads CHANGELOG, CLAUDE.md, and hook README, updates notebook sources, and ingests release digest. Optionally generates podcast from updated knowledge base. Use after tagging a new version to propagate release knowledge.