Deliverable Fidelity En Matematicsolutions
Checks whether the final document still carries what the analysis actually found. Takes the list of findings with their severities and the finished deliverable, runs a mechanical coverage check with a bundled zero-dependency script, then an LLM spot-check on the RED findings for tone-downgrading, and returns a deterministic verdict PASS / CONDITIONAL_PASS / FAIL from published weights and thresholds. An omitted RED finding blocks. The third axis of verification, next to citation checking (are the sources real) and adversarial review (does the thesis hold): this one asks whether the summary is faithful to the analysis. Jurisdiction-neutral. Use when: "does the summary cover everything", "did anything drop out of the executive summary", "fidelity check", "is the deliverable faithful", "check the memo against the findings" - before sending any document that summarises a longer analysis.
Security AStatic scan found no risk patternsHow grading works ›
What this skill does
Deliverable Fidelity En Matematicsolutions is a community-contributed Claude Code skill in the general-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/deliverable-fidelity-en-matematicsolutions/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use when: "does the summary cover everything", "did anything drop out of the executive summary", "fidelity check", "is the deliverable faithful", "check the memo against the findings" - before sending any document that summarises a longer analysis.
Who uses this skill
The Deliverable Fidelity En Matematicsolutions Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 206,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
How to install
Free
Manual install (2 steps)
mkdir -p ~/.claude/skills/deliverable-fidelity-en-matematicsolutions
curl -L https://claudskills.com/skills/deliverable-fidelity-en-matematicsolutions/SKILL.md \
-o ~/.claude/skills/deliverable-fidelity-en-matematicsolutions/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/deliverable-fidelity-en-matematicsolutions/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/deliverable-fidelity-en-matematicsolutions/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\deliverable-fidelity-en-matematicsolutions\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Frequently asked questions
How do I install the Deliverable Fidelity En Matematicsolutions Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy
SKILL.md from the source repository to
~/.claude/skills/deliverable-fidelity-en-matematicsolutions/SKILL.md and restart Claude Code. Both flows are detailed at
claudskills.com/install/.
What does the Deliverable Fidelity En Matematicsolutions skill do?
Checks whether the final document still carries what the analysis actually found. Takes the list of findings with their severities and the finished deliverable, runs a mechanical coverage check with a bundled zero-dependency script, then an LLM spot-check on the RED findings for tone-downgrading, and returns a deterministic verdict PASS / CONDITIONAL_PASS / FAIL from published weights and thresholds. An omitted RED finding blocks. The third axis of verification, next to citation checking (are the sources real) and adversarial review (does the thesis hold): this one asks whether the summary is faithful to the analysis. Jurisdiction-neutral. Use when: "does the summary cover everything", "did anything drop out of the executive summary", "fidelity check", "is the deliverable faithful", "check the memo against the findings" - before sending any document that summarises a longer analysis.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Deliverable Fidelity En Matematicsolutions skill?
Use Deliverable Fidelity En Matematicsolutions when your Claude Code task falls under the General category — specifically in the general misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Deliverable Fidelity En Matematicsolutions" or describe the task and let Claude pick). Browse related skills at
/category/general/.
What is a Claude Code skill and how does the Deliverable Fidelity En Matematicsolutions skill fit in?
A Claude Code skill is a
SKILL.md file that lives under
~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Deliverable Fidelity En Matematicsolutions is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at
/learn/what-is-a-claude-skill/.
Attribution & license
Cite this skill
If you reference this skill in a blog post, paper, or documentation, you can cite it as:
APA
matematicsolutions. (2026). Deliverable Fidelity En Matematicsolutions [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/deliverable-fidelity-en-matematicsolutions/
BibTeX
@misc{deliverable-fidelity-en-matematicsolutions-2026,
author = {matematicsolutions},
title = {Deliverable Fidelity En Matematicsolutions [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/deliverable-fidelity-en-matematicsolutions/}
}Embed this skill
Promote, attribute, or link this skill from your own README, blog post, or documentation. All three snippets are free to use — no sign-up, no API key. More distribution surfaces →
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Security scan
Grade A · scanned 2026-10-11 — free static scan against the OWASP Agentic Skills Top 10.
The scan flagged 1 of 10 categories (filesystem), including lower-severity patterns. Patterns shown inside code fences are weighted as examples rather than instructions — read the grading methodology for what this does and does not guarantee.
- ✓ Prompt injection
- ✓ Data exfiltration
- ✓ Supply chain
- ✓ Reverse shell
- ✓ Credentials
- ✓ Execution
- ⚠ Filesystem
- ✓ Persistence
- ✓ Obfuscation
- ✓ Network
Show this grade on your repo (click to copy):
[](https://claudskills.com/skills/deliverable-fidelity-en-matematicsolutions/#security)
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