answer-mission

answer-mission is a skill for Codex from anotb/driftglass. It costs 60 tokens per session (1,791 once invoked), scanned A, original, MIT.

A skill for answering questions from a connected Driftglass Today overview or saved evidence about an active Mission. Driftglass is the named evidence source; a Mission is the tracked topic or objective being monitored.

In plain words
What is it for?
Use it to answer questions about a named or naturally described active Mission, including what is new, what changed, what is known, what matters, and what signals to monitor.
Why use it?
It provides answers based on the connected Driftglass evidence instead of general memory. It focuses on what changed, why it matters, and what should be watched.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to answer questions about a named or naturally described active Mission, including what is new, what changed, what is known, what matters, and what signals to monitor.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anotb/driftglass/answer-mission
Install

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.

Any agent
npx skills add anotb/driftglass --skill answer-mission
Clone the repo
git clone --depth 1 https://github.com/anotb/driftglass

Made for: Codex.

Wrote 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.

agentmods badge for answer-mission

README.md
[![agentmods](https://agentmods.dev/badge/skills/anotb/driftglass/answer-mission.svg)](https://agentmods.dev/skills/anotb/driftglass/answer-mission)
Your own site
<a href="https://agentmods.dev/skills/anotb/driftglass/answer-mission"><img src="https://agentmods.dev/badge/skills/anotb/driftglass/answer-mission.svg" alt="Measured on agentmods" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,791 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.01791
Opus 5 $0.00030 $0.00896
Sonnet 5 $0.00012 $0.00358
Haiku 4.5 $0.00006 $0.00179

Measured 7d ago against content hash 634c170a3863, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

answer-mission 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 7d 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.

plugins/driftglass/skills/answer-mission/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Answer from Driftglass

Use Driftglass as the evidence source. Do not answer from general memory when the connected instance is available. Choose one route.

Shape the live card

Answer the user's question with the information that changes the answer. Do not write a changelog, source recap, or status report.

  • Default to answerMode: synthesis for questions about state, trajectory, causes, implications, comparison, or what changed broadly.
  • In synthesis mode, start with a required cited thesis that gives the answer and causal spine. Stop when the question is answered; do not pad it to fill a format. It may stand alone. Add one to four keyJudgments, an optional competingExplanation, and zero to two watchFor signals only when each extra block adds a distinct fact, mechanism, implication, or falsifier. Give every included judgment a factual title and concrete evidence. Omit every extra block that does not add one.
  • Use answerMode: decision only when the user explicitly asks for a choice, action, test, deferral, or rollback rule. Provide cited whatChanged and whyItMatters, then include exactly the requested decision rows: a bounded testNow with comparison and sample or timebox, an observable deferUntil condition, and/or a measurable rollbackIf threshold with its evaluation window. A generic recommendation gets only the single most relevant row. These parameters are ChatGPT judgment anchored by cited evidence, not claims that a source states them verbatim. Do not add synthesis fields or watchNext in decision mode.
  • Lead with claims. Prefer dates, quantities, mechanisms, and consequences to adjectives or stacked qualifiers. Connect developments only when the evidence supports the connection.
  • Every rendered section needs one to three exact public citation URLs from the evidence result. Keep URLs out of prose and put them in that section's citationUrls.
  • Do not narrate source counts, source families, coverage, evidence mechanics, tools, receipts, or the briefing process in answer fields. Keep limits in the collapsed source disclosure.
  • After present_brief succeeds, stop. The live card is the answer, so do not add a prose recap or generic conclusion.

Read the full file on GitHub · 73 lines

Files

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.

Changes

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.

  1. 7d ago First seen · 73 lines · 60 tokens per session scan A 634c170a3863

Subscribe to this mod's changes

answer-mission is a skill published in the GitHub repository anotb/driftglass (1 stars, last pushed 4d ago), licensed MIT. It adds 60 tokens to every session and 1,791 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 2026-08-31.

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