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 human-avatar/skills-for-humanity --skill s4h-communication-objection-mappinggit clone --depth 1 https://github.com/human-avatar/skills-for-humanityWrote 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/human-avatar/skills-for-humanity/s4h-communication-objection-mapping)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-communication-objection-mapping"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-communication-objection-mapping/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/human-avatar/skills-for-humanity/s4h-communication-objection-mapping"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-communication-objection-mapping.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 | $0.00064 | $0.01153 |
| Opus 5 | $0.00032 | $0.00576 |
| Sonnet 5 | $0.00013 | $0.00231 |
| Haiku 4.5 | $0.00006 | $0.00115 |
Grade A, and why
s4h-communication-objection-mapping 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Communication Objection Mapping
Anticipated objections feel handled. Unanticipated objections derail. The difference is not the content of the objection — it is whether the receiver senses that the sender has thought it through. A proposal that addresses likely objections before they are raised signals rigor and respect. One that doesn't signals that the sender only thought from their own perspective.
Your Process
Step 1: State the Proposal Write the proposal clearly — what is being asked, what it proposes to do, and what it asks of the audience (approval, resources, behaviour change, belief change).
Framing check: Confirm the message, the audience, and the goal before continuing. State what you've identified — the actual proposal being analyzed, who it is directed at, and what it is asking them to do — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the proposal, its audience, and the outcome being sought]. Is that right?"
- Header: "Framing"
- Options:
- Yes — proceed — framing is correct
- Adjust — one element is off; user will correct it before you continue
- Reframe — different situation than read; incorporate the correction before proceeding
Step 2: List Audience Segments Who will receive this? Different roles and individuals will have different objections. A finance stakeholder's objection to a proposal is structurally different from an engineering lead's, even if both say "this is risky."
Step 3: Generate Objections per Segment For each segment: given what they care about and what they fear, what is their most likely objection? Be specific — "they might push back on cost" is too vague. "They will argue the ROI model assumes usage patterns that contradict last quarter's data" is useful.
Step 4: Classify Each Objection
- Legitimate: the objection raises a real concern the proposal should genuinely engage with. Dismissing it will damage credibility.
- Unfounded: the objection reflects a misunderstanding, missing information, or an assumption the proposal already addresses. Requires clarification, not capitulation.
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 · 111 lines · 64 tokens per session scan A 414d0e0b5782
s4h-communication-objection-mapping is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 1,153 once invoked, about $0.0003 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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