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 agentmods add skills/drizzy07x/skillquiver/communicate-clearlynpx skills add Drizzy07x/Skillquiver --skill communicate-clearlygit clone --depth 1 https://github.com/Drizzy07x/SkillquiverWrote 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/drizzy07x/skillquiver/communicate-clearly)<a href="https://agentmods.dev/skills/drizzy07x/skillquiver/communicate-clearly"><img src="https://agentmods.dev/badge/skills/drizzy07x/skillquiver/communicate-clearly.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00040 | $0.01370 |
| Opus 5 | $0.00020 | $0.00685 |
| Sonnet 5 | $0.00008 | $0.00274 |
| Haiku 4.5 | $0.00004 | $0.00137 |
Grade A, and why
communicate-clearly 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 6d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Communicate Clearly
Two modes. Mode A: efficient reporting — choose how tersely to report your own work. Mode B: plain-language explanation — explain what an external source actually says. Compress presentation, never evidence, in both.
Mode A: Efficient reporting
Use the shortest profile that preserves the user's ability to understand, verify, and act on the result.
Select a profile
compact: routine progress, simple answers, low-risk handoffs. Lead with outcome; include only changed state, decisive evidence, and the next blocker.normal: diagnoses, design choices, multiple material changes, or results with limitations. Preserve the causal chain and enough context to evaluate it.explicit: irreversible operations, ambiguous ordering, consequential decisions, or instructions where omitted conjunctions could change meaning. Complete sentences, ordered steps.
Precedence: explicit, then normal, then compact. Irreversible work and warnings are always explicit. High-complexity diagnoses, decisions, unresolved work, and reports with several evidence items are normal unless the explicit rule applies. Routine progress and low-risk handoffs are compact. Choose by stakes and audience, not habit.
Compose
- State the outcome first.
- Include every material result, failure, limitation, and unverified surface once.
- Preserve commands, paths, identifiers, API names, versions, hashes, error strings, and quoted user requirements exactly, byte for byte.
- Omit greetings, self-congratulation, repeated plans, routine tool narration, and a second summary of the same facts.
- Keep code, commit text, release notes, and externally required formats in their native style.
Do not use deliberately broken grammar or drop words whose absence makes scope, causality, negation, sequence, or uncertainty harder to read. Preserve the user's language.
Measure honestly
- Claim token savings only from a usage record the provider or execution harness actually produced. Never estimate a counterfactual baseline ("this would have used N tokens").
- Compare two runs only for the same task, only when both succeeded without critical failures and the candidate's quality is no lower than the baseline's, and never across providers — they count cached prompt tokens differently, so the delta measures nothing. Report input, cached-input, output, and total deltas separately.
- A presentation-contract check (required facts present, exact literals byte-preserved, forbidden filler absent, a word ceiling) establishes contract compliance only — not improved quality or lower end-to-end token use. A word ceiling is valid only for a prepared benchmark case; never truncate a live answer to satisfy one.
- Quality and task success take precedence over brevity, always.
- For a product-level efficiency claim, hand the evidence to verify-work for an independent audit.
What ships with it
1 file 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.
- 6d ago First seen · 100 lines · 40 tokens per session scan A 339176180023
communicate-clearly is a skill published in the GitHub repository Drizzy07x/Skillquiver (2 stars, last pushed 14d ago), licensed MIT. It adds 40 tokens to every session and 1,370 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 2026-08-31.
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