Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Q7030 Pull Off Verification

ASecurity

Verify the pull-off evidence behind a lot of wire wraps under ECSS-Q-ST-70-30C quality rules. Use when the destructive sample is planned or graded: size the sample from the lot, hold a first-article wrap for every operator, tool and gauge setup, read the minimum unwrap force the conductor gauge owes, compare each measured force against it and state the margin, refuse a sample cut from flight hardware instead of a process coupon, and return the lot disposition, whether that is acceptance, a ho...

2 stars
0 votes
0 copies
0 views
Added 9/27/2026
ai-agentspython

Works with

claude code

Security Analysis

A100/100

Scanned 9/27/2026

Install to Claude Code

$npx -y skills add ashfordeOU/aero-agent-skills --skill q7030-pull-off-verification --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Q7030 Pull Off Verification?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Q7030 Pull Off Verification
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/ashfordeou-q7030-pull-off-verification/badge)](https://www.skillsdirectory.com/skills/ashfordeou-q7030-pull-off-verification)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: q7030-pull-off-verification
description: "Verify the pull-off evidence behind a lot of wire wraps under ECSS-Q-ST-70-30C quality rules. Use when the destructive sample is planned or graded: size the sample from the lot, hold a first-article wrap for every operator, tool and gauge setup, read the minimum unwrap force the conductor gauge owes, compare each measured force against it and state the margin, refuse a sample cut from flight hardware instead of a process coupon, and return the lot disposition, whether that is acceptance, a hold for full re-verification, or rewrap. Trigger: ecss, q-st-70-30c, wire-wrap-pull-off-force, wire-wrap-destructive-sampling, wire-wrap-first-article-wrap, wire-wrap-lot-disposition, wire-wrap-process-coupon, wire-wrap-unwrap-force-margin."
license: Apache-2.0
compliance: STANDARDS-REF
standards:
  - id: ecss
    reference-only: true
gated: false
domain: space-systems
pack: space-systems
compatibility: "agentskills.io SKILL.md; any SKILL.md host (Claude Code, Hermes, OpenClaw)"
metadata:
  domain: space-systems
  subdomain: ecss
  tags: [ecss, q-st-70-30c, q7030-pull-off-verification, wire-wrap-pull-off-force, wire-wrap-destructive-sampling, wire-wrap-first-article-wrap, wire-wrap-lot-disposition, wire-wrap-process-coupon, wire-wrap-unwrap-force-margin]
  version: 0.1.0
  author: Aero Agent Skills
---

# ECSS Wire Wrapping — Pull-off Verification (space-systems/ecss/q7030-pull-off-verification)

Use when the task is the destructive pull-off verification of wrapped
connections under ECSS-Q-ST-70-30C -- deciding how many wraps the lot
owes to the test, which setups each sample stands for, and what the
measured forces say about the lot as a whole.

## Domain quick reference

- The pull-off test destroys the wrap it grades. That single fact
  shapes everything else: it can only be a sampling test, the sample
  can only come from a coupon made alongside the work, and its result
  is evidence about a process setting rather than about any delivered
  connection.
- The sample grows with the lot far more slowly than the lot does,
  because what is being demonstrated is that the tool, the wire and the
  hand producing the wraps are set correctly, and that does not become
  more uncertain as more wraps are made from the same setting.
- A setup is the combination of operator, tool and conductor gauge. Any
  one of the three changing is a different process, and the new setup
  owes its own first-article wrap before production on it continues. A
  lot that covers two operators with one first article has one setup
  unverified.
- The minimum unwrap force is owed by the conductor gauge. A coarser
  conductor presses harder on the post corners and carries more metal
  to shear, so it must survive a larger force; reading one figure
  across a mixed-gauge lot passes fine-gauge wraps that were never
  tested against their own number.
- The margin -- measured force over the minimum -- is reported
  alongside the verdict, because a lot that passed at 1.02 and a lot
  that passed at 1.8 are the same verdict and completely different
  process news.
- The dispositions differ in kind. A force below the minimum is a
  process that is not making sound joints, so the lot is rewrapped. A
  sampling or coverage gap is an evidence problem, so the lot is held
  for full re-verification rather than condemned.

## Workflow

1. Size the sample from the lot with the declared plan, and cap it at
   the lot itself so a lot smaller than the sample is fully tested
   rather than over-drawn.
2. Identify the setups present among the samples, and list any setup
   with no first-article wrap behind it.
3. Read the minimum unwrap force from each sample's own conductor
   gauge.
4. Grade each sample: compare the measured force against that minimum,
   compute the margin, and raise a finding on any sample whose origin
   is flight hardware rather than a process coupon.
5. Decide the lot. Any sample below its minimum rejects the lot for
   rewrap; a sampling shortfall, an uncovered setup or a
   wrongly-sourced sample holds the lot for full re-verification;
   otherwise the lot is accepted.
6. Report the worst margin in the lot with the disposition, so a lot
   that only just passed is visible as such.

## Pitfalls

- Sampling flight hardware because the coupons were not made. The
  destroyed wrap has to be replaced on a deliverable assembly, which is
  a rework on the very hardware the test was meant to protect, and the
  result is evidence of nothing that the coupon would not have shown.
- Applying one minimum force across a mixed-gauge lot. The schedule is
  per gauge, and the coarse figure over-tests the fine wraps while the
  fine figure passes coarse wraps that never met their own
  requirement.
- Counting the sample and stopping there. The right number of samples
  drawn entirely from one operator's work leaves every other setup in
  the lot with no evidence at all, which is why coverage is checked
  separately from count.
- Comparing a measured force against the minimum by bare arithmetic. A
  wrap that lands exactly on the number can read a few units in the
  last place below it; the comparison absorbs that representation error
  while the minimum itself stays untouched.
- Collapsing every problem into one verdict. Rewrap and re-verification
  answer different questions -- one says the joints are weak, the other
  says the evidence is thin -- and treating a sampling gap as a
  rejection scraps sound hardware.

## Behavior contract (gate 3)

The force schedule, the sampling plan, the setup and first-article
coverage, the per-sample grading with its margin, the origin rule and
the three lot dispositions are exercised by the gate 3 contract test:
scripts/test_q7030_pull_off_verification.py against
scripts/q7030_pull_off_verification_logic.py (stdlib unittest,
offline). Run:
python3 scripts/test_q7030_pull_off_verification.py

## Compliance

- ECSS standards are freely downloadable (ESA); cite the source and
  paraphrase per standards-map.yaml.
- compliance: STANDARDS-REF, gated: false.

Attribution

ashfordeOUashfordeOU
View sourceMore from ashfordeOU →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1074701 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

694821 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →