generate-digest

generate-digest is a skill for Claude Code, Codex from pilotspace/pilot-space. It costs 12 tokens per session (766 once invoked), scanned A, original, Apache-2.0.

A workflow that examines recent workspace activity and produces categorized suggestions for follow-up work. It looks at issues, notes, cycles, dependencies, and pull requests.

In plain words
What is it for?
Use it to generate a digest for a dashboard or periodic review. It can identify items needing attention, including overdue work, unassigned urgent issues, review delays, and possible duplicates.
Why use it?
It helps surface work that may otherwise be overlooked, such as stale issues, missing links, blocked dependencies, or deadlines at risk. It turns workspace activity into a shorter list of actionable items.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to generate a digest for a dashboard or periodic review. It can identify items needing attention, including overdue work, unassigned urgent issues, review delays, and possible duplicates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pilotspace/pilot-space/generate-digest
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 pilotspace/pilot-space --skill generate-digest
Clone the repo
git clone --depth 1 https://github.com/pilotspace/pilot-space

Made for: Claude Code, 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 generate-digest

README.md
[![agentmods](https://agentmods.dev/badge/skills/pilotspace/pilot-space/generate-digest/github.svg)](https://agentmods.dev/skills/pilotspace/pilot-space/generate-digest)
Your own site
<a href="https://agentmods.dev/skills/pilotspace/pilot-space/generate-digest"><img src="https://agentmods.dev/badge/skills/pilotspace/pilot-space/generate-digest/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for generate-digest

Your own site · 80×15
<a href="https://agentmods.dev/skills/pilotspace/pilot-space/generate-digest"><img src="https://agentmods.dev/badge/skills/pilotspace/pilot-space/generate-digest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 766 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 $0.00012 $0.00766
Opus 5.5 $0.00005 $0.00306
Sonnet 5.5 $0.00002 $0.00153
Haiku 4.5 $0.00001 $0.00077

Measured 2mo ago against content hash 2d7d258ba096, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

generate-digest 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 2mo 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.

backend/src/pilot_space/ai/templates/skills/generate-digest/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate Digest Skill

Analyze workspace activity and generate categorized, actionable suggestions for the AI Digest panel.

Quick Start

Use this skill when:

  • Hourly background job triggers digest generation
  • User manually refreshes the digest panel
  • System detects significant workspace state changes

Workflow

  1. Receive Workspace Context

    • Recent issues (last 7 days): state, assignee, priority, activity
    • Recent notes (last 7 days): annotations, extraction status
    • Active cycles: progress metrics, burndown
    • Issue links and dependencies
  2. Analyze for Actionable Insights Categories to check:

    • stale_issues: Issues not updated in 3+ days while in active state
    • unlinked_notes: Notes with no linked issues (potential extraction candidates)
    • review_needed: Issues in review state for 2+ days
    • blocked_dependencies: Issues blocked by unresolved dependencies
    • cycle_risk: Cycles at risk of missing targets (>70% time, <50% done)
    • overdue_items: Issues past target date
    • unassigned_priority: High/urgent priority issues with no assignee
    • duplicate_candidates: Issues with high semantic similarity
    • stale_prs: PRs open for 3+ days without review
    • annotation_pending: Notes with unaddressed AI annotations
    • inactive_members: Team members with no activity in 5+ days
    • documentation_gaps: Features without linked documentation notes
  3. Score Relevance For each suggestion, score 0.0-1.0 based on:

    • Ownership: Is the user the owner/assignee? (+0.3)
    • Recency: How recently did the user interact with related items? (+0.2)
    • Priority: Is the related item high/urgent priority? (+0.2)
    • Impact: Does this affect active cycles or deadlines? (+0.3)
  4. Return Structured Output

Output Format

{
  "suggestions": [
    {
      "id": "uuid",
      "category": "stale_issues",
      "title": "3 issues haven't been updated this week",
      "description": "PS-42, PS-55, PS-61 are in progress but have no activity since Monday",
      "entity_id": "uuid",
      "entity_type": "issue",
      "action_url": "/workspace/issues?filter=stale",
      "relevance_score": 0.85
    }
  ],
  "summary": "Generated 8 suggestions across 5 categories",
  "tokens_used": {
    "input": 950,
    "output": 420
  }
}

Read the full file on GitHub · 93 lines

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. 2mo ago First seen · 93 lines · 12 tokens per session scan A 2d7d258ba096

Subscribe to this mod's changes

generate-digest is a skill published in the GitHub repository pilotspace/pilot-space (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 12 tokens to every session and 766 once invoked, about $0.0000 per session on Opus 5.5. 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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