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

E10 Mdd Drd

ASecurity

Use when generating or validating a Mission Description Document (MDD) for a European space project per ECSS-E-ST-10C Annex B: check that the required sections (objectives, mission statement, mission scenario, constraints) are present, that the mission statement carries an objective/target/timeframe, that the mission scenario phases follow the launch-to-disposal order, and that every constraint is categorised (programmatic, technical, operational, environmental) before the MDD is handed off a...

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

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 e10-mdd-drd --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of E10 Mdd Drd?

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

Security grade badge for E10 Mdd Drd
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/ashfordeou-e10-mdd-drd/badge)](https://www.skillsdirectory.com/skills/ashfordeou-e10-mdd-drd)

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

Download with Pro
Files
SKILL.md
---
name: e10-mdd-drd
description: "Use when generating or validating a Mission Description Document (MDD) for a European space project per ECSS-E-ST-10C Annex B: check that the required sections (objectives, mission statement, mission scenario, constraints) are present, that the mission statement carries an objective/target/timeframe, that the mission scenario phases follow the launch-to-disposal order, and that every constraint is categorised (programmatic, technical, operational, environmental) before the MDD is handed off at MDR. Trigger: mdd, mission description document, annex b, e-st-10c annex b, mission statement, mission scenario, mission constraints, drd, mission definition review, mdr package."
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, e-st-10c, annex-b, mdd, mission-description-document, drd, mdr]
  version: 0.1.0
  author: Aero Agent Skills
---

# ECSS Mission Description Document (space-systems/ecss/e10-mdd-drd)

Use when the task is producing or checking the Mission Description
Document (MDD) for a European space project against the ECSS-E-ST-10C
Annex B document requirements definition (DRD), ahead of the mission
definition review (MDR).

## Domain quick reference

- ECSS-E-ST-10C Annex B defines the DRD for the MDD: a document
  produced early (phase 0) that states what the mission is for and
  under what constraints, before candidate concepts are traded in the
  System Concept Report (see the sibling e10-scr-drd leaf).
- Four content areas are mandatory: objectives (why the mission
  exists), the mission statement (a concise objective/target/timeframe
  triple), the mission scenario (the ordered operational phases from
  launch through disposal), and constraints (the boundaries the
  mission must respect).
- Mission scenario phases follow a fixed canonical order: launch,
  commissioning, operations, disposal. A phase can be omitted, but a
  later phase cannot be listed before an earlier one.
- Constraints are categorised programmatic (budget, schedule),
  technical (launcher, ground segment, interfaces), operational
  (crew, ground station availability), or environmental (orbital
  debris, planetary protection, radiation). A constraint without one
  of these categories is not usable by downstream requirement
  engineering (see the sibling e10-req-analysis leaf).
- The MDD is an input to the MDR package; an incomplete MDD (missing
  section, an unstated mission-statement field, out-of-order scenario
  phases, or an uncategorised constraint) is not ready to support the
  review.

## Workflow

1. Assemble the MDD as a dict with the four required sections:
   objectives, mission_statement, mission_scenario, constraints.
2. Run missing_sections to confirm none of the four are absent or
   empty; resolve any gap before continuing.
3. Run missing_statement_fields against mission_statement to confirm
   it carries objective, target, and timeframe; resolve any gap.
4. Run validate_scenario_order against the mission_scenario phase list
   to confirm phases are drawn from the canonical set and never regress
   to an earlier phase.
5. Run classify_constraints against the constraints list to confirm
   every constraint carries one of the four known categories; disposition
   any constraint flagged invalid before it reaches requirement analysis.
6. Combine steps 2-5 with build_completeness_report and read the
   verdict from drd_gate_verdict before handing the MDD to the MDR
   package.

## Pitfalls

- Treating the mission statement as free text instead of the
  objective/target/timeframe triple the DRD expects, which leaves
  downstream requirement analysis without a traceable source.
- Listing mission scenario phases out of launch-to-disposal order, or
  skipping straight to operations without commissioning when the
  mission actually needs it.
- Leaving a constraint uncategorised (or inventing a fifth category),
  which strands it outside the programmatic/technical/operational/
  environmental buckets requirement analysis and the SEP rely on.
- Declaring the MDD complete because prose sections exist, without
  checking the specific fields the DRD requires inside each section.

## Behavior contract (gate 3)

The section-completeness, mission-statement, scenario-order, and
constraint-classification logic is exercised by the gate 3 contract
test: scripts/test_e10_mdd_drd.py against
scripts/e10_mdd_drd_logic.py (stdlib unittest, offline). Run:
python3 scripts/test_e10_mdd_drd.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 →