Atlassian Forge Skills supports Atlassian Forge, a platform for building and deploying apps that extend products such as Jira and Confluence. Its skills and MCP-backed tools help coding agents create Forge apps, review them before deployment, optimize usage, troubleshoot failures, and work with Forge APIs and the Atlassian Design System.
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 atlassian/forge-skills --skill forge-connectorgit clone --depth 1 https://github.com/atlassian/forge-skillsWrote 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/atlassian/forge-skills/forge-connector)<a href="https://agentmods.dev/skills/atlassian/forge-skills/forge-connector"><img src="https://agentmods.dev/badge/skills/atlassian/forge-skills/forge-connector/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/atlassian/forge-skills/forge-connector"><img src="https://agentmods.dev/badge/skills/atlassian/forge-skills/forge-connector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 287 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Prompt Injection · line 960 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Excessive Agency · line 1028 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00121 | $0.12016 |
| Opus 5 | $0.00060 | $0.06008 |
| Sonnet 5 | $0.00024 | $0.02403 |
| Haiku 4.5 | $0.00012 | $0.01202 |
Grade A, and why
forge-connector 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 9d 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 — 1,069 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Forge Connector
Builds a graph:connector Forge app that ingests external data into Atlassian's Teamwork Graph so it appears in Rovo Search and Rovo Chat.
Critical Rules
- Must install in Jira — Apps using Teamwork Graph modules must be installed on a Jira site. Confluence-only installs will not work.
- Never ask for credentials in chat — Direct users to run
forge loginin their own terminal. - Always run the scaffold script yourself — Do not only give manual instructions; run
scripts/scaffold_connector.pyto generate the boilerplate. - Always ask the user for their Atlassian site URL when install is needed — never discover or guess it.
- Atlassian deletes data on disconnect — When
action = 'DELETED', the app only needs to clean up local state; Atlassian removes the Teamwork Graph data automatically. - Handler arguments are passed directly — Forge passes the request object as the first argument to handlers, NOT nested under
event.payload. Config values are atrequest.configProperties, NOTevent.payload.config. This is the most common source ofTypeError: Cannot destructure property of undefinederrors. - Use
@forge/kvsfor storage — Importkvsfrom@forge/kvs. Do NOT use@forge/storage— itsstorageexport isundefinedat runtime in connector functions. - Use
graphnamed export from@forge/teamwork-graph— The correct import isconst { graph } = require('@forge/teamwork-graph'). Callgraph.setObjects({ objects, connectionId }). Do NOT importsetObjectsas a named export directly. validateConnectionHandlermust return{ success, message }— Do NOT throw an Error. Return{ success: false, message: '...' }to reject,{ success: true }to accept.functiondeclarations belong undermodules— Inmanifest.yml,function:is a key undermodules:, not a top-level key. Placing it at the top level causes a lint error.formConfigurationusesformarray withtype: header— Do NOT usefields:orbeforeYouBegin:. The correct format usesform: [{ key, type: header, title, description, properties: [...] }].- Scopes are
read/write/delete:object:jira— Useread:object:jira,write:object:jira,delete:object:jira. The scopesread:graph:teamworkandwrite:graph:teamworkare invalid and will failforge lint. - Set
ATL_FORGE_ATTRIBUTION_SKILL_NAME=forge-connectoronforgecommands run for this skill — prefixforgeinvocations with this env var: ones you run in the shell (e.g.forge lint,forge logs,forge deploy) and the interactiveforge createcommand you hand the user as a fallback. The bundled scripts set it automatically; other commands shown in this skill omit it for brevity — add it when you run them. The only exclusions areforge loginandforge tunnel(user-run auth / live-dev commands). - Never ignore
setObjects/setUsers/setGroupsresponses — Do NOT treat ingestion calls as fire-and-forget. Always check bothresponse.successandresponse.results?.rejected. A call can partially fail: some objects are rejected while others are accepted, andresponse.successcan betrueeven whenrejected.length > 0. - Keep access control IDs consistent — When using
USERorGROUPprincipals inpermissions, theidvalue must exactly match theexternalIdused in the correspondinggraph.setUsers()/graph.setGroups()call. Mismatched IDs (e.g.user-42vsaccountId:user-42) silently make objects invisible to users who should have access. - Use orchestration for refresh scheduling — When the user wants periodic re-ingestion, use
graph.scheduleOrUpdateTask+ ataskRunnerhandler (the platform-managed approach) instead of ascheduledTrigger. Orchestration handles cadence, retry, and fan-out natively. Only fall back toscheduledTriggerif the user explicitly needs a lightweight cron-style trigger without platform task tracking. taskIdmust be a valid UUID — BothscheduleOrUpdateTaskandscheduleChildTaskrequiretask.taskIdto be a UUID string. Useuuid()(v4) for root tasks anduuidv5('<scanId>:<parentTaskId>:<itemId>', APP_NAMESPACE)for child tasks. Persist root task IDs in KVS so re-runningonConnectionChangereuses the same ID (making it an update, not a competing schedule).- Write
TaskInfoto KVS before scheduling; never delete it on completion — Always write theTaskInforecord to KVS keyed bytaskIdbefore callingscheduleOrUpdateTaskorscheduleChildTask. On success, setcompleted: trueon the record — do NOT delete it. Deleting causes duplicate deliveries to reportENTITY_NOT_FOUNDand overwrite the earlier success. - Branch on
response.errorfor orchestration responses —scheduleOrUpdateTaskandscheduleChildTaskreturn{ status: 'ACCEPTED' }on success, not{ success: true }. Checkif (response.error)to detect failures — do NOT checkif (!response.success).
What ships with it
7 files 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.
- 9d ago First seen · 1,069 lines · 121 tokens per session scan A a9b1289f899d
forge-connector is a skill published in the GitHub repository atlassian/forge-skills (22 stars, last pushed yesterday), licensed Apache-2.0. It adds 121 tokens to every session and 12,016 once invoked, about $0.0006 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 2026-08-30.
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