Borrowing it
Nothing to install: this file belongs to Destrayon/Connapse. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Destrayon/Connapse/main/.claude/skills/discover-work/SKILL.mdgit clone --depth 1 https://github.com/Destrayon/ConnapseWrote 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.
[](https://agentmods.dev/skills/destrayon/connapse/discover-work)<a href="https://agentmods.dev/skills/destrayon/connapse/discover-work"><img src="https://agentmods.dev/badge/skills/destrayon/connapse/discover-work/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.
<a href="https://agentmods.dev/skills/destrayon/connapse/discover-work"><img src="https://agentmods.dev/badge/skills/destrayon/connapse/discover-work.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00077 | $0.01772 |
| Opus 5.5 | $0.00031 | $0.00709 |
| Sonnet 5.5 | $0.00015 | $0.00354 |
| Haiku 4.5 | $0.00008 | $0.00177 |
Grade A, and why
discover-work 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discover Work
Perform thorough research across all project surfaces to discover new tasks, gaps, technical debt, and improvement ideas that haven't been captured yet.
Overview
This skill systematically investigates six research dimensions, synthesizes findings, and presents a prioritized list of discovered work items. It goes beyond what /next-task does (which picks from existing issues) — this skill finds new work that nobody has filed yet.
Research Dimensions
Work through each dimension. Use the Agent tool to parallelize independent research. Present findings grouped by dimension, then synthesize into a final prioritized list.
1. Codebase Markers
Search the entire src/ tree for signals of incomplete or problematic code:
Patterns to search (case-insensitive):
TODO, FIXME, HACK, WORKAROUND, TEMPORARY, DEFER, XXX, BUG, PERF,
NotImplementedException, throw new NotSupportedException,
"// removed", "// disabled", "// old", "// legacy"
For each hit, read surrounding context (5-10 lines) to understand whether it's:
- A genuine gap that needs a ticket
- A known deferral already tracked in
.claude/state/issues.md - A false positive (e.g., test code, intentional placeholder)
Skip false positives. Flag genuine gaps.
2. GitHub Issues & Discussions
Use gh CLI to pull:
# Open issues with details
gh issue list --state open --limit 100 --json number,title,labels,milestone,body,assignees,createdAt,updatedAt
# Closed issues (look for reopened patterns, incomplete fixes)
gh issue list --state closed --limit 30 --json number,title,labels,closedAt,body
# Discussions
gh api repos/{owner}/{repo}/discussions --jq '.[] | {number, title, category: .category.name, body, comments: .comments, created_at}'
# PRs (open and recently merged — look for follow-up items)
gh pr list --state merged --limit 20 --json number,title,body,mergedAt,labels
gh pr list --state open --limit 10 --json number,title,body,labels
Look for:
- Issues that are stale (no updates in 2+ weeks, no assignee,
needs-triagelabel) - Issues missing labels, milestones, or size estimates
- Closed issues whose fixes were partial (check for "deferred", "follow-up", "TODO" in close comments)
- Discussions with unresolved questions or design decisions
- Merged PRs that mention "follow-up" or "deferred" work
- Open PRs that have been sitting without review
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.
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.
- 4d ago Changed 0c756f071902
- 2mo ago First seen · 196 lines · 77 tokens per session scan A 2513ca8a7ca9
discover-work is a skill published in the GitHub repository Destrayon/Connapse (22 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 1,772 once invoked, about $0.0003 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 2026-08-30.
discover-work compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| discover-workDestrayon/Connapse | Skill | 22 | today | MIT | A | 77 | Claude Code |
| mapsuiznlgis/opengis-skills | Skill | 76 | 10d ago | MIT | A | 107 | Claude Code, Codex |
| rag-expertpersonamanagmentlayer/pcl | Skill | 44 | 11d ago | Apache-2.0 | A | 97 | Claude Code |
| weasley-deepmindpotatohoney-p/weasley-deepmind | Skill | 5 | yesterday | Apache-2.0 | A | 0 | Claude Code |
| collatticeMrBildo/collattice | Skill | 8 | 11d ago | MIT | A | 111 | Claude Code, Codex |
| wpfvisualtreemcpfaze79/WPFVisualTreeMcp | Skill | 21 | 11d ago | MIT | A | 85 | Claude Code, Codex |
| veladbhq-uk/vela-skill | Skill | 6 | 11d ago | MIT | A | 213 | Claude Code |