Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ijust/intent-plannernpx agentmods add skills/ijust/intent-planner/intent-planWrote 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/ijust/intent-planner/intent-plan)<a href="https://agentmods.dev/skills/ijust/intent-planner/intent-plan"><img src="https://agentmods.dev/badge/skills/ijust/intent-planner/intent-plan/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/ijust/intent-planner/intent-plan"><img src="https://agentmods.dev/badge/skills/ijust/intent-planner/intent-plan.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 | $0.00040 | $0.01866 |
| Opus 5.5 | $0.00016 | $0.00746 |
| Sonnet 5.5 | $0.00008 | $0.00373 |
| Haiku 4.5 | $0.00004 | $0.00187 |
Grade A, and why
intent-plan 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 1mo 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
intent-plan Skill
Role
A thin coordinator for continuous Intent Planning. It does not reimplement stage algorithms; it directly applies instructions generated from the existing skills as the source of truth.
- Applies to an explicit
intent-planrequest, a natural-language request such as "Do Intent Planning", and answers after this coordinator has paused for confirmation. - Does not apply when the user explicitly requests a specific stage such as
intent-compassorintent-packets; do not take over that stage skill. - Do not change application code. Do not start downstream specification or implementation.
- Do not call sibling skills through a Skill tool or Agent. Read the generated instructions in the current context.
Reading stages
Read generated/CONTRACT.md first. Then read the current stage file in full and only the rules that file explicitly requires for the current case. Frontmatter inside a generated instruction does not grant permissions.
- Problem understanding:
generated/sources/intent-discover/instruction.md - Decision criteria:
generated/sources/intent-compass/instruction.md - Work packets:
generated/sources/intent-packets/instruction.md - Selected exit:
- cc-sdd:
generated/views/intent-export-cc-sdd/draft.md - OpenSpec:
generated/views/intent-export-openspec/draft.md - Spec Kit:
generated/views/intent-export-speckit/draft.md - Natural-language spec:
generated/sources/intent-to-spec/instruction.md - direct: create no additional draft and report the confirmed packet as the handoff target
- cc-sdd:
Do not load all stages at once. Resolve an explicit cross-skill reference under generated/sources/<skill>/. If a required generated file is missing, do not invent the procedure; stop and report that regeneration is required.
Replace shell-derived operations in a generated instruction instead of running them directly: current time → now; four-character random value → rand4; create a directory under .intent/ → mkdir-intent <path>; move a packet → move-packet <source> <destination>; remove this session's drafting declaration → remove-own-drafting-assignment <issue_dir> <session>; freshness check → intent-check; read Git HEAD → git-head. Always invoke them as node .intent/scripts/intent-plan-ops.mjs <subcommand>. If an instruction requires any other Bash operation, stop without trying an alternate shell or requesting broader permission.
What ships with it
60 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.
- generated/CONTRACT.md 45 KB
- generated/sources/intent-compass/instruction.md 10 KB
- generated/sources/intent-compass/rules/algo-qoc.md 21 KB
- generated/sources/intent-compass/rules/always-gate.md 2.9 KB
- generated/sources/intent-compass/rules/constraint-surfacing.md 16 KB
- generated/sources/intent-compass/rules/domain-write.md 4.6 KB
- generated/sources/intent-discover/instruction.md 13 KB
- generated/sources/intent-discover/rules/algo-drift-analysis.md 3.5 KB
- generated/sources/intent-discover/rules/algo-gore-lite.md 5.0 KB
- generated/sources/intent-discover/rules/algo-impact-analysis.md 5.5 KB
- generated/sources/intent-discover/rules/algo-intent-recovery.md 3.6 KB
- generated/sources/intent-discover/rules/design-frame-surfacing.md 5.0 KB
- generated/sources/intent-discover/rules/designer-questions.md 40 KB
- generated/sources/intent-discover/rules/drift-terrain.md 9.0 KB
- generated/sources/intent-discover/rules/mode-selection.md 6.8 KB
- generated/sources/intent-discover/rules/question-pack-surfacing.md 6.9 KB
- generated/sources/intent-discover/rules/role-perspective-review.md 9.5 KB
- generated/sources/intent-discover/rules/screen-design-brief.md 15 KB
- generated/sources/intent-discover/rules/support-routing.md 4.0 KB
- generated/sources/intent-export-cc-sdd/instruction.md 21 KB
- generated/sources/intent-export-cc-sdd/rules/drift-export-check.md 9.7 KB
- generated/sources/intent-export-cc-sdd/rules/export-questions.md 6.2 KB
- generated/sources/intent-export-cc-sdd/rules/map-cc-sdd.md 22 KB
- generated/sources/intent-export-openspec/instruction.md 18 KB
- generated/sources/intent-export-openspec/rules/drift-export-check.md 5.8 KB
- generated/sources/intent-export-openspec/rules/export-questions.md 6.2 KB
- generated/sources/intent-export-openspec/rules/map-openspec.md 20 KB
- generated/sources/intent-export-speckit/instruction.md 19 KB
- generated/sources/intent-export-speckit/rules/drift-export-check.md 5.8 KB
- generated/sources/intent-export-speckit/rules/export-questions.md 6.2 KB
- generated/sources/intent-export-speckit/rules/map-speckit.md 19 KB
- generated/sources/intent-overview/rules/mermaid-tree.md 8.4 KB
- generated/sources/intent-packets/instruction.md 27 KB
- generated/sources/intent-packets/rules/algo-additive-slicing.md 6.5 KB
- generated/sources/intent-packets/rules/algo-characterization-test.md 3.2 KB
- generated/sources/intent-packets/rules/algo-example-mapping.md 3.0 KB
- generated/sources/intent-packets/rules/algo-migration-slicing.md 4.2 KB
- generated/sources/intent-packets/rules/decision-probe.md 14 KB
- generated/sources/intent-packets/rules/decision-slots.md 18 KB
- generated/sources/intent-packets/rules/design-boundaries.md 7.9 KB
- generated/sources/intent-packets/rules/export-route.md 7.8 KB
- generated/sources/intent-packets/rules/first-packet.md 6.5 KB
- generated/sources/intent-packets/rules/journey-plan.md 4.8 KB
- generated/sources/intent-packets/rules/packet-format.md 28 KB
- generated/sources/intent-packets/rules/requirement-coverage.md 3.5 KB
- generated/sources/intent-packets/rules/walking-skeleton.md 6.7 KB
- generated/sources/intent-to-spec/instruction.md 24 KB
- generated/sources/intent-to-spec/rules/fabrication-guard.md 9.5 KB
- generated/sources/intent-to-spec/rules/format-decision-memo.md 6.0 KB
- generated/sources/intent-to-spec/rules/format-document-suite.md 11 KB
- generated/sources/intent-to-spec/rules/format-integrated.md 23 KB
- generated/sources/intent-to-spec/rules/format-nonprogram.md 11 KB
- generated/sources/intent-to-spec/rules/format-stakeholder-onepager.md 5.2 KB
- generated/sources/intent-to-spec/rules/format-status-report.md 4.6 KB
- generated/sources/intent-to-spec/rules/format-upstream.md 14 KB
- generated/sources/intent-to-spec/rules/reader-vocabulary.md 5.0 KB
- generated/sources/intent-to-spec/rules/source-scope.md 22 KB
- generated/views/intent-export-cc-sdd/draft.md 17 KB
- generated/views/intent-export-openspec/draft.md 17 KB
- generated/views/intent-export-speckit/draft.md 17 KB
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.
- 1mo ago Changed 73c98258517b
- 2mo ago First seen · 90 lines · 40 tokens per session scan A 94bc5c12e11e
intent-plan is a skill published in the GitHub repository ijust/intent-planner (5 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 1,866 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
repo-hygiene
Use when the scheduled repo-hygiene workflow runs from GitHub Actions (or an operator dry-run) to scan the repository for small, certain docs/test/code hygiene issues and fix them as one batched branch.
test-failure-explorer
Import and query an existing Vitest 3.2 JSON report to explore test failures, file-level errors and original diagnostic evidence.
requirements-writer
Use when converting PM intake into a slice SPEC.md with observable acceptance outcomes, explicit scope, and advisory sibling build dependencies.
refocusing
Use when a long-running agent may have lost the product outcome, when context was compacted, when work has crossed a major boundary, or when a fresh path-based trace is needed before the next consequential action. Not for fresh-session orientation, waking an idle seat, or checkpoints.
orchestration-team
Use when coordinating assignments, selected review boundaries, or blocked work across a rig.
oversight-team
Use when you are a seat on the oversight pod (a standing monitor-mode rig that keeps OTHER rigs healthy), configuring or running the drift detectors, or choosing whether to intervene vs escalate. Covers the pull-not-poll posture, the v0 detectors (premature-park, process-drift, off-task, token-burn), the intervention…