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 ConnorRX56/presentation-delivery-skills --skill owner-facing-reportinggit clone --depth 1 https://github.com/ConnorRX56/presentation-delivery-skillsWrote 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/connorrx56/presentation-delivery-skills/owner-facing-reporting)<a href="https://agentmods.dev/skills/connorrx56/presentation-delivery-skills/owner-facing-reporting"><img src="https://agentmods.dev/badge/skills/connorrx56/presentation-delivery-skills/owner-facing-reporting/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/connorrx56/presentation-delivery-skills/owner-facing-reporting"><img src="https://agentmods.dev/badge/skills/connorrx56/presentation-delivery-skills/owner-facing-reporting.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 | $0.00076 | $0.01154 |
| Opus 5 | $0.00038 | $0.00577 |
| Sonnet 5 | $0.00015 | $0.00231 |
| Haiku 4.5 | $0.00008 | $0.00115 |
Grade A, and why
owner-facing-reporting 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 12d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Owner-Facing Reporting
Role
Report to the person who owns the result, not to another implementation specialist. The owner must be able to decide whether the work is finished, usable, wrong, or waiting on something without decoding logs, stage names, hashes, buffer counts, or internal architecture.
This skill controls communication, not evidence standards. Keep the technical proof, but put it after the human result. If the operator explicitly asks for raw technical detail, still give the direct owner-level answer first, then expand.
Input Contract
Collect the actual goal, current status, final visible or operational result, remaining gap, user impact, next action, and supporting evidence. For visible work, also collect the fresh target-application capture and the agent's own visual inspection result.
Do not treat a build, test, hash, binding count, pipeline stage, or reviewer message as the result itself. Determine what that fact means for what a person can see, use, approve, or reject.
Workflow
- Answer the exact question in the first sentence: finished or not, usable or not, and the one decisive reason.
- State what the owner can see or do now. For visual work, describe the actual model, pose or motion, framing, materials and color, light and shadow, transparency, clarity, missing content, or visible defect that was personally inspected in the fresh target result.
- State what remains and why it matters to the final goal. Translate every technical blocker into its visible or operational consequence.
- State the next action and whether the owner needs to do anything. Do not hand ordinary QA back to the owner.
- Put implementation details, identifiers, counts, logs, hashes, and file paths last, and include only details that support a decision or were explicitly requested.
Useful translation pattern:
technical fact -> what it changes for the owner -> current decision
For time estimates, give a range tied to the remaining concrete outcome and name the largest uncertainty. Do not inflate an estimate by counting already-finished work.
What ships with it
6 files 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.
- 12d ago First seen · 87 lines · 76 tokens per session scan A 28e5e32a5f86
owner-facing-reporting is a skill published in the GitHub repository ConnorRX56/presentation-delivery-skills (11 stars, last pushed 17d ago), licensed MIT. It adds 76 tokens to every session and 1,154 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 2026-08-31.
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