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.
npx skills add emergent-wisdom/understanding-graph --skill collaborative-codegit clone --depth 1 https://github.com/emergent-wisdom/understanding-graphWrote 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/emergent-wisdom/understanding-graph/collaborative-code)<a href="https://agentmods.dev/skills/emergent-wisdom/understanding-graph/collaborative-code"><img src="https://agentmods.dev/badge/skills/emergent-wisdom/understanding-graph/collaborative-code/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/emergent-wisdom/understanding-graph/collaborative-code"><img src="https://agentmods.dev/badge/skills/emergent-wisdom/understanding-graph/collaborative-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00058 | $0.01358 |
| Opus 5.5 | $0.00023 | $0.00543 |
| Sonnet 5.5 | $0.00012 | $0.00272 |
| Haiku 4.5 | $0.00006 | $0.00136 |
Grade A, and why
collaborative-code 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.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Collaborative Graph-Native Code
Use the code document graph as the shared source tree. Generated files are read-only projections for builds and tests. Contributors must never patch them.
Required server surface
This skill requires the server to run with
TOOL_MODE=collaborative_coding and advertise the solver_* tools. If those
tools are unavailable, do not imitate persistent tasks, ownership, or locks in
chat. Work serially through code-work, or ask the user to restart the server
in collaborative-coding mode before concurrent mutation.
Partition before concurrent mutation
The integration owner must:
- Inspect the artifact roots or subtrees that bear on the requested change and check active locks. Read broader topology or history only when it affects partitioning; do not run a fixed orientation ritual.
- If guided navigation would help at a consequential partition or design choice, ask for concrete graph-sensitive possibilities:
graph_suggest_next({
task: "Build and integrate this graph-native software project",
workflow: "collaborative_coding"
})
Consider the weights, then choose, combine, modify, or reject the routes for
this task. In direct mode, partition and coordinate through the graph without
this call. If a selected route needs re-entry, call graph_understand with
its stance and focus. The roll is guidance, not a coordination state machine.
3. Assign one owner per document root or disjoint subtree. Avoid two active
writers on the same node or sibling-order chain.
4. Give each solver a bounded outcome, owned node IDs, forbidden subtrees,
dependencies, acceptance commands, and required handoff shape.
5. Name one integration owner before mutation begins.
Lock graph ownership
Locks protect graph resources, not generated files:
solver_lock({
resource_ids: ["n_code_root"],
holder_id: "parser-contributor",
scope: "subtree",
duration_minutes: 10,
reason: "Own parser source nodes through handoff"
})
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.
- 2mo ago First seen · 139 lines · 58 tokens per session scan A 820207cf604c
collaborative-code is a skill published in the GitHub repository emergent-wisdom/understanding-graph (1 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 1,358 once invoked, about $0.0002 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.
Other skills, from other repositories
stale-sweep
Sweep the googleapis/mcp-toolbox repo for issues and PRs with no real activity in N days (default 60), sort each by whose silence it is (the author's, ours, or nobody's), and draft the nudge or close comment. Use whenever a maintainer asks for a stale sweep, backlog cleanup, or an SLO check, e.g. "stale sweep", "find…
linear-tickets
Create or update high-quality Linear tickets while preserving the originating report, diagnostic links, attachments, and reporter/requester attribution. Read this whenever someone asks to create, recreate, or update a Linear issue.
company-employee
The protocol every employee of a PenguinHarness organization follows — read the handbook first, act on [orgtrigger] work runs, schedule tickets from the desk session and do the work in ticket sessions, block instead of idling, ask the board in the all-hands channel before anything heavy, costly, irreversible or…
company-ceo
Run a PenguinHarness organization as its CEO — turn the mission into a ticket tree, hire HR and finance first, partition the shared workspace, schedule the calendar, open a channel per stream, review tickets and report to the board in the all-hands channel.
company-hr
Run HR for a PenguinHarness organization — guarantee every employee has an enabled calendar event, hire and offboard employees (channels included), evaluate and improve them (with the default-rsi-toolkit plugin's agent-optimization skill), and keep the handbook's role conventions current.
company-mirror
Run a PenguinHarness organization that mirrors a real company — one digital twin per real colleague, each twin's desk bound to that colleague's chat bot, twins answering what the handbook already knows and relaying the rest to one another instead of hiring, scheduling and filing tickets.